Triple
T4495935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetSMART |
E100695
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | JETSMART |
E100695
|
NE 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: JETSMART | Statement: [JetSMART, callsign, JETSMART]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JETSMART Context triple: [JetSMART, callsign, JETSMART]
-
A.
JetSMART
chosen
JetSMART is a Chilean low-cost airline operating domestic and regional flights across South America.
-
B.
Jetstar Asia Airways
Jetstar Asia Airways is a Singapore-based low-cost airline operating regional flights across Asia under the Jetstar brand.
-
C.
Jetstar Japan
Jetstar Japan is a Japanese low-cost airline operating domestic and international flights, partly owned by Qantas and Japan Airlines.
-
D.
Jetstar Airways
Jetstar Airways is an Australian low-cost airline operating domestic and international flights, owned by the Qantas Group.
-
E.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bde14c819091d42839a46291d0 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67bfb4788190b64975b1999a8d1e |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1 p.m.