Triple
T14814679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeward Oahu |
E348278
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Waiʻanae |
E300252
|
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: Waiʻanae | Statement: [Leeward Oahu, hasCommunity, Waiʻanae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waiʻanae Context triple: [Leeward Oahu, hasCommunity, Waiʻanae]
-
A.
Waiʻanae
chosen
Waiʻanae is a coastal community on the western side of Oʻahu, Hawaiʻi, known for its rural character, beaches, and strong Native Hawaiian presence.
-
B.
Waialae
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
-
C.
Waipahu
Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
-
D.
Kakaʻako
Kakaʻako is a rapidly redeveloping urban neighborhood in Honolulu known for its high-rise condos, vibrant street art, and waterfront parks.
-
E.
Kaimuki
Kaimuki is a residential neighborhood in Honolulu, Hawaii, known for its local eateries, small businesses, and hillside views of Diamond Head and the surrounding city.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f8b4148190bc24f9a307178419 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:48 a.m.