Triple
T6631763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohala |
E149940
|
entity |
| Predicate | hasHawaiianName |
P53186
|
FINISHED |
| Object | Kohala |
E149940
|
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: Kohala | Statement: [Kohala, hasHawaiianName, Kohala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohala Context triple: [Kohala, hasHawaiianName, Kohala]
-
A.
Kohala
chosen
Kohala is an ancient, heavily eroded shield volcano forming the northwestern tip of Hawaiʻi Island.
-
B.
Kailua-Kona
Kailua-Kona is a coastal town on the west side of Hawaii's Big Island known for its sunny beaches, historic sites, coffee farms, and role as a major tourist and commercial center.
-
C.
Kihei
Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
-
D.
South Kohala
South Kohala is a district on the northwestern coast of Hawaii's Big Island, known for its resort areas, beaches, and dry, sunny climate.
-
E.
Kaluahi
Kaluahi is a town located in the Madhubani district of the Indian state of Bihar.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa6e52c8190943c86660da23c75 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b89caf148190a2959698e5849e12 |
completed | March 28, 2026, 11:16 a.m. |
Created at: March 27, 2026, 1:59 p.m.