Triple

T16030331
Position Surface form Disambiguated ID Type / Status
Subject Division of Forestry and Wildlife E388829 entity
Predicate operatesIn P82 FINISHED
Object Maui E15811 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: Maui | Statement: [Division of Forestry and Wildlife, operatesIn, Maui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maui
Context triple: [Division of Forestry and Wildlife, operatesIn, Maui]
  • A. Maui chosen
    Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
  • B. Maui
    Maui is a heroic demigod from Polynesian mythology, widely known for his cleverness, shape-shifting abilities, and feats such as slowing the sun and fishing islands from the sea.
  • C. Lānaʻi
    Lānaʻi is one of the smaller inhabited Hawaiian Islands, known for its quiet, rural character and luxury resort tourism.
  • D. Molokaʻi
    Molokaʻi is one of the major Hawaiian Islands, known for its relatively undeveloped landscape, strong Native Hawaiian culture, and dramatic sea cliffs.
  • E. Oahu
    Oahu is a major Hawaiian island known for its capital city Honolulu, iconic Waikiki Beach, and significant World War II history.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832b0f308190a23edfaf55f3ca25 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0bc4e88190be83324776b26df9 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:56 a.m.