Triple
T12399989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juanda International Airport |
E296225
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object | Citilink |
E159131
|
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: Citilink | Statement: [Juanda International Airport, hubFor, Citilink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citilink Context triple: [Juanda International Airport, hubFor, Citilink]
-
A.
Citilink
chosen
Citilink is an Indonesian low-cost airline operating domestic and regional flights as a subsidiary of the national carrier Garuda Indonesia.
-
B.
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.
-
C.
Dragonair
Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
-
D.
T'way Air
T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
-
E.
PSA Airlines
PSA Airlines is a regional American airline that operates feeder flights for major carriers, primarily within the United States.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9401cbfd481908ee6e765da3d12cb |
completed | April 10, 2026, 6:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63482af8c8190b277b36371979f5e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.