Triple
T4701841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waimea, Hawaii County, Hawaii |
E104291
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kamuela |
E28217
|
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: Kamuela | Statement: [Waimea, Hawaii County, Hawaii, alsoKnownAs, Kamuela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamuela Context triple: [Waimea, Hawaii County, Hawaii, alsoKnownAs, Kamuela]
-
A.
Pauanui
Pauanui is a popular coastal holiday town on New Zealand’s North Island, known for its sandy beach, boating, and relaxed resort atmosphere.
-
B.
Kaikohe
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
-
C.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
D.
Maalaea
Maalaea is a small harbor village on the south-central coast of Maui, Hawaii, known for its boat harbor, ocean center aquarium, and whale-watching tours.
-
E.
Kailua-Kona
chosen
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.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cec7988190b5f1d04d4f95314a |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be439d76e08190a813957bdb1b44f4 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:17 p.m.