Triple
T28249944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRT (A Division) lines |
E712285
|
entity |
| Predicate | usesRollingStockProfile |
P166474
|
FINISHED |
| Object | narrower car profile |
—
|
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: narrower car profile | Statement: [IRT (A Division) lines, usesRollingStockProfile, narrower car profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRollingStockProfile Context triple: [IRT (A Division) lines, usesRollingStockProfile, narrower car profile]
-
A.
usesRollingStock
Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
-
B.
usesRollingStockCompatibleWith
Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
-
C.
hasRollingStockFeature
Indicates that a piece of rolling stock possesses a specific feature, characteristic, or equipment.
-
D.
usesRollingStockBrand
Indicates that one entity employs or operates rolling stock manufactured under a specific brand.
-
E.
usesRollingStockOwner
Indicates that one entity operates or employs rolling stock (such as trains or rail vehicles) that is owned by another entity.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 11:04 p.m.