Triple
T12404133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puʻu o Kapolei |
E296335
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Kalaeloa |
E1025116
|
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: Kalaeloa | Statement: [Puʻu o Kapolei, isNear, Kalaeloa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalaeloa Context triple: [Puʻu o Kapolei, isNear, Kalaeloa]
-
A.
Kalaeloa
chosen
Kalaeloa is a coastal community on the island of Oʻahu in Hawaii, known for its former naval air station and ongoing redevelopment.
-
B.
Wailea
Wailea is a luxury resort community on the south shore of Maui, Hawaii, known for its upscale hotels, golf courses, and beautiful beaches.
-
C.
Waipahi
Waipahi is a small rural settlement in New Zealand’s South Island, located within the predominantly agricultural Clutha District of Otago.
-
D.
Waialae
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
-
E.
Haleiwa
Haleiwa is a historic surf town on Oahu’s North Shore in Hawaii, known for its laid-back atmosphere, beaches, and local shops and eateries.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d48f1908190918551c794f98fe3 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f70928c8190a872ecb47b8da2c7 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:55 p.m.