Triple
T15822074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge of the Arch |
E383636
|
entity |
| Predicate | hasRoadwayWidth |
P94146
|
FINISHED |
| Object | about 8 meters |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 8 meters | Statement: [Bridge of the Arch, hasRoadwayWidth, about 8 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadwayWidth Context triple: [Bridge of the Arch, hasRoadwayWidth, about 8 meters]
-
A.
roadWidth
chosen
Indicates the measured breadth or distance across a road, typically from one edge or curb to the opposite edge or curb.
-
B.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
C.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
D.
hasRoadStandard
Indicates that a road or roadway segment conforms to, or is governed by, a specific road design, construction, or operational standard.
-
E.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.