Triple

T1905063
Position Surface form Disambiguated ID Type / Status
Subject Maui County E37781 entity
Predicate hasNotableIsland P970 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 County, hasNotableIsland, Lānaʻi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lānaʻi
Context triple: [Maui County, hasNotableIsland, 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb191b710819091a5b767550fcf61 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf046d388190a0224f76a4e13e08 completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:35 p.m.