Triple
T4773341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duquesne Incline |
E105983
|
entity |
| Predicate | hasHistoricCars |
P7735
|
FINISHED |
| Object | wooden cable 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: wooden cable cars | Statement: [Duquesne Incline, hasHistoricCars, wooden cable cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricCars Context triple: [Duquesne Incline, hasHistoricCars, wooden cable cars]
-
A.
historicRacingCar
Indicates that an entity is a racing car of historical significance, typically from a past era of motorsport competition.
-
B.
hasTransportHistory
Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
-
C.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
-
D.
hasVehicle
chosen
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
E.
hasTransportHistorySignificance
Indicates that something holds notable importance or relevance within the historical development or evolution of transportation systems or practices.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6560b3448190a0debbd8da29d986 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.