Triple
T6082927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pālolo |
E135565
|
entity |
| Predicate | hasNearbyNeighborhood |
P350
|
FINISHED |
| Object | Mānoa |
E22730
|
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: Mānoa | Statement: [Pālolo, hasNearbyNeighborhood, Mānoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mānoa Context triple: [Pālolo, hasNearbyNeighborhood, Mānoa]
-
A.
Mānoa
chosen
Mānoa is a verdant residential valley and neighborhood in Honolulu known for its frequent rainbows, historic homes, and the main campus of the University of Hawaiʻi.
-
B.
Nānākuli
Nānākuli is a coastal community on the leeward side of Oʻahu in Hawaii, known for its strong Native Hawaiian presence and scenic beaches.
-
C.
Kailua
Kailua is a coastal town on the windward side of Oahu in Hawaii, known for its scenic beaches and relaxed residential atmosphere.
-
D.
Kailua-Kona
Kailua-Kona is a coastal town on the west side of Hawaii's Big Island known for its sunny beaches, historic sites, coffee farms, and role as a major tourist and commercial center.
-
E.
Waialae
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05786233c81909010a6c2f7e7dfda |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673f2327481908f541d4b2095c958 |
completed | March 27, 2026, 12:11 p.m. |
Created at: March 22, 2026, 4:11 p.m.