Triple
T18375198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JA |
E446294
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | JetSMART |
—
|
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: JetSMART | Statement: [JA, assignedTo, JetSMART]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JetSMART Context triple: [JA, assignedTo, JetSMART]
-
A.
JetSMART
chosen
JetSMART is a Chilean low-cost airline operating domestic and regional flights across South America.
-
B.
White Airways
White Airways is a Portuguese charter and regional airline that operates flights on behalf of other carriers, including TAP Express.
-
C.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
D.
SouthJet Airlines
SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
-
E.
Silver Airways
Silver Airways is a U.S. regional airline that primarily operates short-haul flights within Florida and the southeastern United States, as well as to nearby Caribbean destinations.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.