Triple

T1905023
Position Surface form Disambiguated ID Type / Status
Subject Maui County E37781 entity
Predicate countySeat P383 FINISHED
Object Wailuku E81350 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: Wailuku | Statement: [Maui County, countySeat, Wailuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wailuku
Context triple: [Maui County, countySeat, Wailuku]
  • A. Wailuku chosen
    Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
  • B. Mililani
    Mililani is a master-planned residential community and census-designated place located in the central part of the island of Oahu in Hawaii.
  • C. Kapolei
    Kapolei is a rapidly growing master-planned community on the western side of Oahu in Hawaii, often referred to as Oahu’s “Second City” due to its expanding residential, commercial, and governmental centers.
  • D. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • E. Kaneohe
    Kaneohe is a residential town on the windward side of Oahu in Hawaii, known for its lush landscapes, views of the Koʻolau Mountains, and access to Kaneohe Bay.
  • 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_69ae26fab724819094a3c02e8c3fc2df completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:35 p.m.