Triple

T145580
Position Surface form Disambiguated ID Type / Status
Subject Hawaii E2945 entity
Predicate contains P35 FINISHED
Object Maui County 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 County | Statement: [Hawaii, contains, Maui County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maui County
Context triple: [Hawaii, contains, Maui County]
  • A. Honolulu County
    Honolulu County is a consolidated city-county in the U.S. state of Hawaii that encompasses the island of Oʻahu, including the city of Honolulu and its surrounding communities.
  • B. Maui chosen
    Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
  • C. Lānaʻi
    Lānaʻi is one of the smaller inhabited Hawaiian Islands, known for its quiet, rural character and luxury resort tourism.
  • D. Aiea
    Aiea is a residential community on the island of Oahu in Hawaii, located inland from Honolulu and known for its proximity to Pearl Harbor and historic World War II sites.
  • E. Molokaʻi
    Molokaʻi is one of the major Hawaiian Islands, known for its relatively undeveloped landscape, strong Native Hawaiian culture, and dramatic sea cliffs.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3bf8948190a30af36f4c21eded completed Feb. 28, 2026, 7:13 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.