Triple
T9667803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikou Meilan International Airport |
E233748
|
entity |
| Predicate | hasHubAirline |
P423
|
FINISHED |
| Object | Lucky Air |
E637091
|
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: Lucky Air | Statement: [Haikou Meilan International Airport, hasHubAirline, Lucky Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Air Context triple: [Haikou Meilan International Airport, hasHubAirline, Lucky Air]
-
A.
Lucky Air
chosen
Lucky Air is a Chinese low-cost airline based in Yunnan Province that operates domestic and regional flights across China and nearby countries.
-
B.
Buddha Air
Buddha Air is a prominent Nepalese domestic airline known for operating scheduled flights and mountain sightseeing tours, particularly around the Himalayas.
-
C.
Loong Air
Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
-
D.
Malindo Air
Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
-
E.
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.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a208798819088db055e44d288e3 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.