Triple
T7365863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaohsiung International Airport |
E169866
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | KHH |
E658141
|
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: KHH | Statement: [Kaohsiung International Airport, hasCode, KHH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KHH Context triple: [Kaohsiung International Airport, hasCode, KHH]
-
A.
KHH
chosen
KHH is the IATA airport code for Kaohsiung International Airport, a major airport serving Kaohsiung in southern Taiwan.
-
B.
KKH
KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
-
C.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
-
D.
CHH
CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
-
E.
CHH
CHH is the ICAO airline designator used to identify Hainan Airlines in international aviation operations.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b90cc081908b15e61921d15b92 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:06 p.m.