Triple
T4033276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuala Lumpur International Airport |
E83764
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | WMKK |
E318231
|
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: WMKK | Statement: [Kuala Lumpur International Airport, ICAOcode, WMKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WMKK Context triple: [Kuala Lumpur International Airport, ICAOcode, WMKK]
-
A.
WMKK
chosen
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
B.
WBKK
WBKK is the ICAO airport code for Kota Kinabalu International Airport in Sabah, Malaysia.
-
C.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
D.
KACK
KACK is the ICAO airport code for Nantucket Memorial Airport, a public airport serving Nantucket Island in Massachusetts, USA.
-
E.
WIP-FM
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563e11708190abc9ba55b1be43a5 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.