Triple
T3911675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kota Kinabalu International Airport |
E87334
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | Malaysia Airlines |
E13188
|
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: Malaysia Airlines | Statement: [Kota Kinabalu International Airport, isHubFor, Malaysia Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaysia Airlines Context triple: [Kota Kinabalu International Airport, isHubFor, Malaysia Airlines]
-
A.
Malaysia Airlines
chosen
Malaysia Airlines is the flag carrier of Malaysia, operating international and domestic flights across Asia, Europe, and other regions from its main hub in Kuala Lumpur.
-
B.
Malaysia Aviation Group
Malaysia Aviation Group is a Malaysian state-owned aviation holding company that oversees Malaysia Airlines and several related aviation and travel businesses.
-
C.
Lion Air
Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
-
D.
Jin Air
Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
-
E.
Sriwijaya Air
Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed35e2d081908b5d87c7630e7ffc |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb454c48190bf47d080f6cc24f0 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.