Triple
T13270685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Maui coast |
E316046
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Napili |
E320364
|
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: Napili | Statement: [West Maui coast, contains, Napili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napili Context triple: [West Maui coast, contains, Napili]
-
A.
Napili
chosen
Napili is a coastal community on the northwest shore of Maui, Hawaii, known for its scenic bay, beaches, and resort accommodations.
-
B.
Nanakuli
Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
-
C.
Kahola
Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
-
D.
Sam’al
Sam’al was an important Iron Age city-state and archaeological site in the Syro-Anatolian region, known for its monumental architecture and distinctive Aramaic and Luwian inscriptions.
-
E.
Nasipit
Nasipit is a coastal municipality in the province of Agusan del Norte in the Philippines, known for its port and maritime activities.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99020f710819094c2618662bdc7fd |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4e98888190af5cb857b2437f09 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.