Triple
T33652742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU-GAP |
E862140
|
entity |
| Predicate | intermediateStopOnAccidentFlight |
P195408
|
FINISHED |
| Object | John F. Kennedy International Airport |
—
|
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: John F. Kennedy International Airport | Statement: [SU-GAP, intermediateStopOnAccidentFlight, John F. Kennedy International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intermediateStopOnAccidentFlight Context triple: [SU-GAP, intermediateStopOnAccidentFlight, John F. Kennedy International Airport]
-
A.
aircraftStopover
Indicates that an aircraft makes an intermediate stop at a specific location during its journey between origin and final destination.
-
B.
trailStopOn
Indicates that one entity stops or terminates at the endpoint of a trail or path associated with another entity.
-
C.
stopoverAirportOfHijackedFlight
Indicates that an airport served as an intermediate stopover point for a flight that was hijacked.
-
D.
stopoverAirport
Indicates that an itinerary or flight includes a particular airport as an intermediate stop between the origin and final destination.
-
E.
stopoverLocation
Indicates that an entity makes an intermediate stop or layover at a specified location during a journey or route.
- F. None of above. chosen
Provenance (4 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: May 1, 2026, 1:42 a.m.