Triple
T19626016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeju Air |
E471136
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | JEJU AIR |
—
|
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: JEJU AIR | Statement: [Jeju Air, callsign, JEJU AIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JEJU AIR Context triple: [Jeju Air, callsign, JEJU AIR]
-
A.
Jeju Air
chosen
Jeju Air is a South Korean low-cost airline that operates extensive domestic and international routes, particularly serving leisure and regional markets in East Asia.
-
B.
Jin Air
Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
-
C.
Kish Air
Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
-
D.
Asiana Airlines
Asiana Airlines is a major South Korean international airline based in Seoul, operating an extensive network of passenger and cargo services across Asia, Europe, North America, and Oceania.
-
E.
Buraq Air
Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e9ff208190afb33c910ed2147b |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.