Triple

T3692330
Position Surface form Disambiguated ID Type / Status
Subject Lahaina Historic District E78371 entity
Predicate locatedIn P40 FINISHED
Object Lahaina E80373 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: Lahaina | Statement: [Lahaina Historic District, locatedIn, Lahaina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahaina
Context triple: [Lahaina Historic District, locatedIn, Lahaina]
  • A. Lahaina chosen
    Lahaina is a historic coastal town on the Hawaiian island of Maui, formerly a whaling hub and royal capital, now known for its tourism and cultural significance.
  • B. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • C. Hāna
    Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
  • D. Kahului
    Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
  • E. Hilo
    Hilo is a major town on the Big Island of Hawaii known for its lush rainforests, waterfalls, and role as a regional cultural and economic center.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e89f588190951371439a035850 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3cd64c4819098f9f93a8d2efdf7 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.