Triple
T12577748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waiʻanae |
E300252
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Mākaha |
E1064039
|
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: Mākaha | Statement: [Waiʻanae, adjacentTo, Mākaha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mākaha Context triple: [Waiʻanae, adjacentTo, Mākaha]
-
A.
Makaha
chosen
Makaha is a coastal community on Oahu’s leeward side known for its surf breaks, beaches, and more rural, less-developed character compared to Honolulu.
-
B.
Kaneohe
Kaneohe is a residential town on the windward side of Oahu in Hawaii, known for its lush landscapes, views of the Koʻolau Mountains, and access to Kaneohe Bay.
-
C.
Waiʻanae
Waiʻanae is a coastal community on the western side of Oʻahu, Hawaiʻi, known for its rural character, beaches, and strong Native Hawaiian presence.
-
D.
Waialae
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
-
E.
Waipahu
Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d12cd88190b6e205ad98296ed9 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 4:53 p.m.