Triple
T13228609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haleiwa |
E314947
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Waialua |
E354960
|
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: Waialua | Statement: [Haleiwa, near, Waialua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waialua Context triple: [Haleiwa, near, Waialua]
-
A.
Waialua
chosen
Waialua is a small rural community on Oahu’s North Shore in Hawaii, known for its former sugar plantation, quiet beaches, and agricultural landscape.
-
B.
Waimea
Waimea is a town on the Big Island of Hawaii known for its ranching heritage, cool upland climate, and scenic views of nearby volcanic peaks.
-
C.
Waipahi
Waipahi is a small rural settlement in New Zealand’s South Island, located within the predominantly agricultural Clutha District of Otago.
-
D.
Waianae
Waianae is a coastal community on the western side of Oahu in Hawaii, known for its rural character, beaches, and strong Native Hawaiian presence.
-
E.
Waikele
Waikele is a residential community in Central Oʻahu, Hawaii, known for its planned neighborhoods, shopping outlets, and local schools.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d3cf3881908fdfc56bd31e5fe2 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:21 p.m.