Triple
T4813488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Division |
E107127
|
entity |
| Predicate | A DivisionUsesCarWidth |
P26300
|
FINISHED |
| Object | 8.6-foot-wide subway cars |
—
|
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: 8.6-foot-wide subway cars | Statement: [B Division, A DivisionUsesCarWidth, 8.6-foot-wide subway cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: A DivisionUsesCarWidth Context triple: [B Division, A DivisionUsesCarWidth, 8.6-foot-wide subway cars]
-
A.
usesCarWidth
chosen
Indicates that one entity determines, measures, or constrains something based on the width of a car.
-
B.
carWidth
Indicates the measurement of how wide a car is across its lateral (side-to-side) dimension.
-
C.
hasCarLength
Indicates that an entity is associated with a specific measurement representing the length of a car.
-
D.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
E.
carHeight
Indicates the vertical measurement or clearance height of a car.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.