Triple
T13366852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vance Brand Airport |
E318960
|
entity |
| Predicate | offersFlightTraining |
P60836
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vance Brand Airport, offersFlightTraining, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFlightTraining Context triple: [Vance Brand Airport, offersFlightTraining, yes]
-
A.
hasFlightTrainingActivity
chosen
Indicates that an entity is involved in or associated with a flight training activity.
-
B.
tookFlightTrainingIn
Indicates that an entity received or completed flight training at or through a specified organization, location, or program.
-
C.
offersFlights
Indicates that one entity provides or makes available flight services or routes to another entity or destination.
-
D.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
E.
offersOffTrainExperiences
Indicates that an entity provides or arranges activities or services for passengers outside the train itself, typically at destinations or stops along the route.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.