Triple
T4701851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waimea, Hawaii County, Hawaii |
E104291
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Hualālai |
E146590
|
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: Hualālai | Statement: [Waimea, Hawaii County, Hawaii, hasViewOf, Hualālai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hualālai Context triple: [Waimea, Hawaii County, Hawaii, hasViewOf, Hualālai]
-
A.
Hualālai
chosen
Hualālai is an active shield volcano on the western side of Hawaiʻi Island, known for its relatively recent eruptions and luxury resort developments on its flanks.
-
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.
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.
-
D.
Waimānalo
Waimānalo is a coastal community on the windward side of Oʻahu in Hawaiʻi, known for its long sandy beach, rural character, and strong Native Hawaiian presence.
-
E.
Waikiki
Waikiki is a famous beachfront neighborhood in Honolulu renowned for its white-sand beaches, surf culture, and major tourist resorts.
- 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_69be67bb17e0819099a6d4f3ca54f616 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:17 p.m.