Triple
T16910857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westinghouse Amrail Company |
E410188
|
entity |
| Predicate | R68CarUse |
P12443
|
FINISHED |
| Object | revenue passenger service |
—
|
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: revenue passenger service | Statement: [Westinghouse Amrail Company, R68CarUse, revenue passenger service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: R68CarUse Context triple: [Westinghouse Amrail Company, R68CarUse, revenue passenger service]
-
A.
usedInCar
Indicates that something is utilized as a component, feature, or element within a car.
-
B.
hasVehicularUse
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
-
C.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
D.
vehicleUsed
chosen
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
E.
usedPoliticalVehicle
Indicates that an entity employed a political organization, campaign, or platform as a means or instrument to achieve its goals or carry out actions.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3ca0c481909ff361ccf4a922e3 |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.