Triple
T625659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maui |
E15811
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Lānaʻi |
E26082
|
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: Lānaʻi | Statement: [Maui, nearbyIsland, Lānaʻi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lānaʻi Context triple: [Maui, nearbyIsland, Lānaʻi]
-
A.
Lānaʻi
chosen
Lānaʻi is one of the smaller inhabited Hawaiian Islands, known for its quiet, rural character and luxury resort tourism.
-
B.
Maui
Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
-
C.
Molokaʻi
Molokaʻi is one of the major Hawaiian Islands, known for its relatively undeveloped landscape, strong Native Hawaiian culture, and dramatic sea cliffs.
-
D.
Kihei
Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
-
E.
Kahoʻolawe
Kahoʻolawe is the smallest of Hawaii’s main islands, historically used as a military bombing range and now largely uninhabited and undergoing environmental and cultural restoration.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654d19b108190a4777dce9def7579 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:35 p.m.