Triple
T18833098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simón Bolívar International Airport |
E460583
|
entity |
| Predicate | hasHubAirline |
P423
|
FINISHED |
| Object | Wingo |
—
|
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: Wingo | Statement: [Simón Bolívar International Airport, hasHubAirline, Wingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wingo Context triple: [Simón Bolívar International Airport, hasHubAirline, Wingo]
-
A.
Wingo
chosen
Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
-
B.
Tom Wingo
Tom Wingo is the troubled Southern football coach and teacher who confronts his painful family history while helping his sister’s psychiatrist uncover the roots of her trauma in *The Prince of Tides*.
-
C.
Wally the Pilot
Wally the Pilot is the costumed aviator mascot who represents the University of Portland’s athletic teams, the Portland Pilots.
-
D.
Piper
Piper is a tough, no-nonsense waitress who becomes the fearless ally of Nicolas Cage’s character in the supernatural action film "Drive Angry."
-
E.
Piper
Piper is a central character in the science fiction television series "Emergence," known for her mysterious origins and unusual abilities that drive much of the show's plot.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99b540c8190a29e5f9d56791d41 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.