Triple
T16972113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawke's Bay Airport |
E411711
|
entity |
| Predicate | hasAirlineService |
P12356
|
FINISHED |
| Object | Sounds Air |
E391416
|
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: Sounds Air | Statement: [Hawke's Bay Airport, hasAirlineService, Sounds Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sounds Air Context triple: [Hawke's Bay Airport, hasAirlineService, Sounds Air]
-
A.
Sounds Air
chosen
Sounds Air is a New Zealand regional airline that operates short-haul domestic flights, particularly connecting smaller centers with major hubs.
-
B.
Sounds
Sounds was the short name of the Memphis Sounds, a former professional basketball team in the American Basketball Association (ABA) during the 1970s.
-
C.
Soundgasm
Soundgasm is a popular Afrobeats song by Nigerian artist Rema, known for its sensual lyrics and smooth, melodic production.
-
D.
Smith Sound
Smith Sound is a narrow Arctic waterway between Greenland and Ellesmere Island that forms part of the connection between Baffin Bay and the Arctic Ocean.
-
E.
Crystal Sound
Crystal Sound is a professional recording studio known for hosting sessions by prominent artists such as James Taylor.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ad04ac81909a11b45be567613a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d471d4248190acf40b6c11926a65 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.