Triple
T22669860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangri La, Honolulu, Hawaii |
E559892
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Kahala |
—
|
NE NERFINISHED |
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: Kahala | Statement: [Shangri La, Honolulu, Hawaii, neighborhood, Kahala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahala Context triple: [Shangri La, Honolulu, Hawaii, neighborhood, Kahala]
-
A.
Kahala
chosen
Kahala is an affluent residential neighborhood on the southeastern shore of Honolulu, Hawaii, known for its luxury homes, beachfront properties, and upscale resorts.
-
B.
Haleʻiwa town center
Haleʻiwa town center is the historic, laid-back commercial heart of Oʻahu’s North Shore, known for its surf culture, local shops, and eateries.
-
C.
Pāhoa
Pāhoa is a small, historic town on Hawaiʻi Island known for its laid-back atmosphere, lava-influenced landscapes, and proximity to active volcanic areas.
-
D.
Kakaʻako
Kakaʻako is a rapidly redeveloping urban neighborhood in Honolulu known for its high-rise condos, vibrant street art, and waterfront parks.
-
E.
Kalihi
Kalihi is a working-class neighborhood in Honolulu on the island of Oʻahu, known for its diverse local community and industrial and residential mix.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781ed50c8190a6943f51d7337b49 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.