Triple
T24048227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TANGO |
E595579
|
entity |
| Predicate | passengerServiceFeatures |
P121590
|
FINISHED |
| Object | air conditioning (depending on configuration) |
—
|
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: air conditioning (depending on configuration) | Statement: [TANGO, passengerServiceFeatures, air conditioning (depending on configuration)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerServiceFeatures Context triple: [TANGO, passengerServiceFeatures, air conditioning (depending on configuration)]
-
A.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
B.
hasPassengerAmenity
chosen
Indicates that an entity provides or is equipped with a specific amenity intended for the comfort or convenience of its passengers.
-
C.
majorPassengerService
Indicates that a transportation facility or route provides primary or significant passenger service as one of its main functions.
-
D.
hasPassengerOnlyService
Indicates that the service provided involves only the transportation of passengers, with no freight or cargo component.
-
E.
passengerConvenience
Indicates how convenient or comfortable a service, vehicle, or facility is for passengers to use.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9cd50648190b009e97e5be53e8b |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:18 p.m.