Triple
T1700263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R179 subway cars |
E36751
|
entity |
| Predicate | carHeight |
P31315
|
FINISHED |
| Object | approximately 12 feet |
—
|
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: approximately 12 feet | Statement: [R179 subway cars, carHeight, approximately 12 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carHeight Context triple: [R179 subway cars, carHeight, approximately 12 feet]
-
A.
usesCarWidth
Indicates that one entity determines, measures, or constrains something based on the width of a car.
-
B.
hasCarLength
Indicates that an entity is associated with a specific measurement representing the length of a car.
-
C.
naveHeight
Indicates the vertical distance from the floor to the highest point of the nave space in a building.
-
D.
shaftHeight
Indicates the vertical extent or length of a shaft from its base to its top.
-
E.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
- F. None of above. chosen
Provenance (4 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf16865488190a76577b36760dc7a |
completed | March 6, 2026, 3:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.