Triple

T16660205
Position Surface form Disambiguated ID Type / Status
Subject ʻAuʻau Channel E404835 entity
Predicate near P350 FINISHED
Object Lahaina NE NERFINISHED

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: [ʻAuʻau Channel, near, Lahaina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahaina
Context triple: [ʻAuʻau Channel, near, 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. Lihue
    Lihue is the county seat and main commercial center of the Hawaiian island of Kauai, known for its airport, harbor, and role as a gateway for visitors.
  • C. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • D. Kalaheo
    Kalaheo is a small residential community on the island of Kauai in Hawaii, known for its hillside neighborhoods, coffee farms, and views over the island’s south shore.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfe0fb081909f2de38df0ed59d7 completed April 18, 2026, 12:41 p.m.
Created at: April 10, 2026, 5:18 a.m.