Triple

T13270574
Position Surface form Disambiguated ID Type / Status
Subject Lahaina Banyan Tree E316044 entity
Predicate locatedIn P40 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: [Lahaina Banyan Tree, locatedIn, Maui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maui
Context triple: [Lahaina Banyan Tree, locatedIn, Maui]
  • A. Maui chosen
    Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
  • B. Lānaʻi
    Lānaʻi is one of the smaller inhabited Hawaiian Islands, known for its quiet, rural character and luxury resort tourism.
  • 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. Oahu
    Oahu is a major Hawaiian island known for its capital city Honolulu, iconic Waikiki Beach, and significant World War II history.
  • E. Big Island
    Big Island is the English name for Nosy Be, a popular island off Madagascar’s northwest coast known for its beaches, marine life, and tourism.
  • 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_69f75467a1a081908395b48615e3ea9b completed May 3, 2026, 1:57 p.m.
Created at: April 9, 2026, 9:26 p.m.