Triple
T14316097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turtle Bay |
E354959
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Kahuku |
E360474
|
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: Kahuku | Statement: [Turtle Bay, hasNearbyCommunity, Kahuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahuku Context triple: [Turtle Bay, hasNearbyCommunity, Kahuku]
-
A.
Kahuku
chosen
Kahuku is a small rural community on Oahu’s North Shore in Hawaii, known for its shrimp farms, scenic coastal views, and proximity to popular surf spots.
-
B.
Nā‘ālehu
Nā‘ālehu is a small rural community on the Big Island of Hawaiʻi, often noted as one of the southernmost towns in the United States.
-
C.
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.
-
D.
Kapalua
Kapalua is a resort community on the northwest coast of Maui, Hawaii, known for its luxury accommodations, golf courses, and scenic beaches.
-
E.
Nānākuli
Nānākuli is a coastal community on the leeward side of Oʻahu in Hawaii, known for its strong Native Hawaiian presence and scenic beaches.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadf7fee48190bf58a1b4a603217e |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:12 a.m.