Triple
T9181308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Route 36 |
E220336
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Kahului area |
E28741
|
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: Kahului area | Statement: [Hawaii Route 36, regionServed, Kahului area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahului area Context triple: [Hawaii Route 36, regionServed, Kahului area]
-
A.
Kahului–Wailuku–Lahaina metropolitan area
The Kahului–Wailuku–Lahaina metropolitan area is a U.S. Census-defined metropolitan region on the island of Maui in Hawaii, centered on its main population and commercial hubs.
-
B.
Kahului
chosen
Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
-
C.
Kalaheo
Kalaheo is a small residential community on the island of Kauai in Hawaii, known for its hillside neighborhoods, coffee farms, and views over the island’s south shore.
-
D.
Līhuʻe
Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
-
E.
Wailuku
Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25379008190b8ca047efe3bb7bb |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cfff508190aee691404444a394 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:23 p.m.