Triple

T6086721
Position Surface form Disambiguated ID Type / Status
Subject Hilo International Airport E135656 entity
Predicate locatedIn P40 FINISHED
Object Hilo E28024 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: Hilo | Statement: [Hilo International Airport, locatedIn, Hilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilo
Context triple: [Hilo International Airport, locatedIn, Hilo]
  • A. Hilo chosen
    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.
  • 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. 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. 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. Wahiawa
    Wahiawa is a town in central Oahu, Hawaii, known for its plantation-era history and its location on a plateau between the island’s two main mountain ranges.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578a8b8081908490e447ae3419f9 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4036f2081909fa40e07d19291f2 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:12 p.m.