Triple
T15816210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piilani Highway |
E383483
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Makena |
E1182560
|
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: Makena | Statement: [Piilani Highway, connects, Makena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makena Context triple: [Piilani Highway, connects, Makena]
-
A.
Makena
Makena is a feminine given name of Hawaiian origin meaning "abundance" or "many gathered."
-
B.
Makena
chosen
Makena is a coastal area on the island of Maui in Hawaii, known for its scenic beaches, clear waters, and relatively undeveloped natural landscape.
-
C.
Maalaea
Maalaea is a small harbor village on the south-central coast of Maui, Hawaii, known for its boat harbor, ocean center aquarium, and whale-watching tours.
-
D.
Hoakalei
Hoakalei is a master-planned resort and residential community on the leeward coast of Oahu, Hawaii, known for its golf course, lagoons, and waterfront lifestyle.
-
E.
Kauil
Kauil is a Maya deity associated with lightning, serpents, and royal power, often depicted with a smoking axe or torch emerging from his forehead.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a306a48190840adc49df2c26c5 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5997a988190b7965e42d283459a |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:49 a.m.