Triple
T6986781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soekarno–Hatta International Airport |
E161983
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object | Batik Air |
E324615
|
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: Batik Air | Statement: [Soekarno–Hatta International Airport, hubFor, Batik Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batik Air Context triple: [Soekarno–Hatta International Airport, hubFor, Batik Air]
-
A.
Batik Air
chosen
Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
-
B.
Arik Air
Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
-
C.
Buraq Air
Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
-
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.
SunExpress
SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db93c0ac8190a752a633247bb439 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cfda14819088e11889f0151a37 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.