Triple
T15894843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Route 32 |
E385426
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Wailuku |
—
|
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: Wailuku | Statement: [Hawaii Route 32, serves, Wailuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wailuku Context triple: [Hawaii Route 32, serves, Wailuku]
-
A.
Wailuku
chosen
Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
-
B.
Pāʻia
Pāʻia is a small, laid-back town on Maui’s north shore in Hawaii, known for its surf culture, bohemian vibe, and proximity to popular windsurfing and kitesurfing beaches.
-
C.
Mililani
Mililani is a master-planned residential community and census-designated place located in the central part of the island of Oahu in Hawaii.
-
D.
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.
-
E.
Wahiawa
Wahiawa is a town in central Oahu, Hawaii, known for its plantation-era history and its location on a plateau between the island’s two main mountain ranges.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563809748190a54156b946d3f061 |
completed | April 16, 2026, 9:35 p.m. |
Created at: April 10, 2026, 4:51 a.m.