Triple
T16405420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kota Kinabalu International Airport |
E398412
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | BKI |
E398411
|
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: BKI | Statement: [Kota Kinabalu International Airport, IATA code, BKI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BKI Context triple: [Kota Kinabalu International Airport, IATA code, BKI]
-
A.
BKI
chosen
BKI is the IATA airport code for Kota Kinabalu International Airport, a major air gateway to the Malaysian state of Sabah on the island of Borneo.
-
B.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
C.
BKL
BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
-
D.
BKL
BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
E.
BKM
BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457baed48190b559af7c0ac2711d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.