Triple

T1354988
Position Surface form Disambiguated ID Type / Status
Subject Līhuʻe E28967 entity
Predicate IATAAirportCode P418 FINISHED
Object LIH E28967 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: LIH | Statement: [Līhuʻe, IATAAirportCode, LIH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIH
Context triple: [Līhuʻe, IATAAirportCode, LIH]
  • A. Lēʻahi
    Lēʻahi is the Hawaiian name for Diamond Head, the iconic volcanic tuff cone and landmark overlooking Waikīkī on the island of Oʻahu.
  • B. Līhuʻe chosen
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • C. Lahaina
    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.
  • D. 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.
  • E. Tafuna
    Tafuna is a major suburban and commercial area on the island of Tutuila in American Samoa, known for its population density and proximity to the territory’s main airport.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6bf6188190a0e1c8acd16b8088 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.