Triple
T16835117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | klia2 |
E409254
|
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: [klia2, ICAOCode, WMKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WMKK Context triple: [klia2, ICAOCode, WMKK]
-
A.
WMKK
chosen
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
B.
WMKL
WMKL is the ICAO airport code for Langkawi International Airport in Malaysia, which serves the island of Langkawi as its main air gateway.
-
C.
WMKA
WMKA is the ICAO airport code for Sultan Abdul Halim Airport in Alor Setar, Malaysia.
-
D.
WMKJ
WMKJ is the ICAO airport code for Senai International Airport, a major airport serving Johor Bahru in southern Malaysia.
-
E.
WKKF
WKKF is a major American philanthropic foundation established by breakfast cereal pioneer W.K. Kellogg that focuses on supporting children, families, and communities through education, health, and economic development initiatives.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31aa44c8190b4f402f1898e6998 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb13ec908190853627066fb2c492 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.