Triple
T4495934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetSMART |
E100695
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | JAT |
E407051
|
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: JAT | Statement: [JetSMART, ICAOcode, JAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JAT Context triple: [JetSMART, ICAOcode, JAT]
-
A.
JATA
JATA is the public transit agency serving the Jackson, Michigan area with bus and related transportation services.
-
B.
JAT Yugoslav Airlines
chosen
JAT Yugoslav Airlines was the former national flag carrier of Yugoslavia, operating extensive domestic and international routes across Europe and beyond during much of the 20th century.
-
C.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
-
D.
JAL
JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
-
E.
Jat Airways
Jat Airways was the former national airline of Serbia and Yugoslavia, operating regional and international flights before being rebranded as Air Serbia.
- 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.