Triple
T4813477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Division |
E107127
|
entity |
| Predicate | usesTrainLength |
P42282
|
FINISHED |
| Object | 8-car trains |
—
|
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-car trains | Statement: [B Division, usesTrainLength, 8-car trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrainLength Context triple: [B Division, usesTrainLength, 8-car trains]
-
A.
rollingStockLength
Indicates the length measurement of a piece of rolling stock in a rail or transit system.
-
B.
vehiclesPerTrain
chosen
Indicates the number of vehicles that are attached to or make up a single train.
-
C.
trainTypeUsed
Indicates that a specific type or category of train is employed or operated in a given context or service.
-
D.
usesTrainNumber
Indicates that one entity operates, identifies, or references another entity by a specific train number.
-
E.
usesRailGauge
Indicates that one entity (typically a railway system or line) operates using the specified rail gauge measurement of the other entity.
- 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.