Triple
T27813599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American locomotive market |
E702599
|
entity |
| Predicate | majorPassengerRailCustomer |
P184887
|
FINISHED |
| Object | Amtrak |
—
|
NE NERFINISHED |
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: Amtrak | Statement: [North American locomotive market, majorPassengerRailCustomer, Amtrak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorPassengerRailCustomer Context triple: [North American locomotive market, majorPassengerRailCustomer, Amtrak]
-
A.
railwayCompanyCustomer
chosen
Indicates that one entity is a customer of a railway company, typically using its rail transport services or products.
-
B.
isPassengerRail
Indicates that something functions as or is classified as a passenger rail service or system, primarily used to transport people rather than freight.
-
C.
majorPassengerService
Indicates that a transportation facility or route provides primary or significant passenger service as one of its main functions.
-
D.
roleInBulletTrain
Indicates the specific function, position, or responsibility an entity has within the context of a bullet train system or operation.
-
E.
hasPassengerTrains
Indicates that a location, route, or rail line is served by trains that carry passengers.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 27, 2026, 5:44 p.m.