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VUP.pdf

vup-b4da2ae4af3b4c2bafa224e8ae0adf54 · Road · highway ontology

Models

Step 1 sends drawing crops, so it needs a model that can see them. Steps 2 and 3 send step 1’s readings as text — a text-only model with a large context is a fair answer there.

1Read the crops24 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 14¢ for 24 crops · default

Every cropped image from the cropping run, page by page, with what the model read off it: view, objects, measurements, notes and labels. Click a crop to see it beside its JSON.

24 crops, none read yet.

Page 115 crops · 0 read
item · 1281 × 1434

Other P01 R02

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item · 570 × 498

Other P01 R03

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other_p01_r03

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item · 681 × 846

Other P01 R04

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item · 327 × 442

Other P01 R05

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item · 302 × 367

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other_p01_r06

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item · 2507 × 1815

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other_p01_r07

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item · 556 × 1391

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Other P01 R08

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other_p01_r08

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crop · 1876 × 2239

p01_r01 table

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r01_table
p01_r01 table

Not read yet. Press Analyse crops.

p01_r01 table

not analysed

vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r01_table

Not read yet. Press Analyse crops, or read this one on its own.

crop · 1257 × 1412

p01_r02 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r02_other
p01_r02 other

Not read yet. Press Analyse crops.

p01_r02 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r02_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 546 × 467

p01_r03 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r03_other
p01_r03 other

Not read yet. Press Analyse crops.

p01_r03 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r03_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 657 × 815

p01_r04 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r04_other
p01_r04 other

Not read yet. Press Analyse crops.

p01_r04 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r04_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 304 × 411

p01_r05 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r05_other
p01_r05 other

Not read yet. Press Analyse crops.

p01_r05 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r05_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 278 × 336

p01_r06 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r06_other
p01_r06 other

Not read yet. Press Analyse crops.

p01_r06 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r06_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 2483 × 1789

p01_r07 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r07_other
p01_r07 other

Not read yet. Press Analyse crops.

p01_r07 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r07_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 532 × 1359

p01_r08 other

page 1 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r08_other
p01_r08 other

Not read yet. Press Analyse crops.

p01_r08 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p01_r08_other

Not read yet. Press Analyse crops, or read this one on its own.

Page 29 crops · 0 read
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item · 338 × 1753

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item · 1063 × 1388

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other_p02_r04

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item · 1823 × 1717

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crop · 918 × 1092

p02_r01 other

page 2 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r01_other
p02_r01 other

Not read yet. Press Analyse crops.

p02_r01 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r01_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 315 × 1721

p02_r02 other

page 2 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r02_other
p02_r02 other

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p02_r02 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r02_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 1390 × 3078

p02_r03 table

page 2 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r03_table
p02_r03 table

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p02_r03 table

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r03_table

Not read yet. Press Analyse crops, or read this one on its own.

crop · 1039 × 1356

p02_r04 other

page 2 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r04_other
p02_r04 other

Not read yet. Press Analyse crops.

p02_r04 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r04_other

Not read yet. Press Analyse crops, or read this one on its own.

crop · 1799 × 1701

p02_r05 other

page 2 · vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r05_other
p02_r05 other

Not read yet. Press Analyse crops.

p02_r05 other

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vup_b4da2ae4af3b4c2bafa224e8ae0adf54_p02_r05_other

Not read yet. Press Analyse crops, or read this one on its own.

2Map the itemsnot mapped yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default

One set of distinct items across every page. The same bent read as “BENT”, “Interior bent” and “Bent No. 2” is one item here, carrying every page and crop it was seen in. One model call over all of step 1’s readings; the page mapping is resolved from its grouping rather than retyped by it.

Read the crops in step 1 first — there is nothing to group yet.

No items yet. Read the crops in step 1, then map them.
3Match the ontologynot matched yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default

Every item from step 2 compared against the project’s engineering ontology, and then, for each one that lands in a class, a take-off of what that class asks for. The class list goes up as a closed vocabulary, so regional wording resolves without a synonym table — BENT to a pier system, PSC BEAM to a prestressed girder. Any class id that is not in the ontology is rejected rather than stored. The take-off reads every crop behind an item, derives what the drawings imply, shows its arithmetic, and says plainly when a number is not there.

Map the items in step 2 first — there is nothing to classify yet.

Nothing classified yet. Map the items in step 2, then match them here.
Index for the agentnot indexed · 0 points ready

Everything steps 1 and 2 know, written to the vector store for a chat agent to answer from. Cut fine — a point for each object, each measurement and each note, not one per crop — with the page, the crop and the drawing written into every one, so a retrieved number arrives with enough context to be an answer. The readings as a whole and step 2’s items are indexed too, for the questions that are about a drawing rather than a figure.

Re-runnable at any time: each point is keyed to the record it came from, so re-indexing replaces what changed, adds what is new, and drops what the drawings no longer support. Re-read a crop or correct one by hand, then press this.

Nothing to index yet — read the crops in step 1 first.

0points stored0points ready0crops0items0tokens embedded

Collection mindmap_vectors, filtered on projectId = vup-b4da2ae4af3b4c2bafa224e8ae0adf54.