Triple
T16405453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kota Kinabalu International Airport |
E398412
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | WBKK |
E398412
|
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: WBKK | Statement: [Kota Kinabalu International Airport, hasCode, WBKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBKK Context triple: [Kota Kinabalu International Airport, hasCode, WBKK]
-
A.
WBKK
chosen
WBKK is the ICAO airport code for Kota Kinabalu International Airport in Sabah, Malaysia.
-
B.
KALB
KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
-
C.
KEWB
KEWB is the ICAO airport code for New Bedford Regional Airport in New Bedford, Massachusetts, United States.
-
D.
KAKR
KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
-
E.
WBZZ
WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
- 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_6a004f439d048190bf779cb263b7c7a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:09 a.m.