Triple
T20686577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauka Tower |
E508434
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Kakaʻako |
—
|
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: Kakaʻako | Statement: [Mauka Tower, locatedInNeighborhood, Kakaʻako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kakaʻako Context triple: [Mauka Tower, locatedInNeighborhood, Kakaʻako]
-
A.
Kakaʻako
chosen
Kakaʻako is a rapidly redeveloping urban neighborhood in Honolulu known for its high-rise condos, vibrant street art, and waterfront parks.
-
B.
Waialae
Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
-
C.
Lāʻie
Lāʻie is a small coastal town on Oʻahu’s northeastern shore known for its strong Latter-day Saint community, the Polynesian Cultural Center, and Brigham Young University–Hawaiʻi.
-
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.
Kalaeloa
Kalaeloa is a coastal community on the island of Oʻahu in Hawaii, known for its former naval air station and ongoing redevelopment.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beacc30081908e57cd7f2c3ef047 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.