Triple
T17407855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeward Coast |
E423266
|
entity |
| Predicate | includesCommunity |
P8617
|
FINISHED |
| Object | Nanakuli |
—
|
NE NERFINISHED |
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: Nanakuli | Statement: [Leeward Coast, includesCommunity, Nanakuli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanakuli Context triple: [Leeward Coast, includesCommunity, Nanakuli]
-
A.
Nanakuli
chosen
Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
-
B.
Okehi
Okehi is a town in Rivers State, Nigeria, that serves as the administrative headquarters of the Ikwerre Local Government Area.
-
C.
Kamakahonu
Kamakahonu is a historic seaside site in Kailua-Kona, Hawaiʻi, best known as the final residence of King Kamehameha I and the location where significant events in Hawaiian history took place.
-
D.
Kaikohe
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
-
E.
Kamaka
Kamaka is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain and sparse habitation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b08d5a881909e7a5b2ae2c60898 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.