Triple

T8454977
Position Surface form Disambiguated ID Type / Status
Subject Hana High and Elementary School E199897 entity
Predicate city P40 FINISHED
Object Hāna E214001 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: Hāna | Statement: [Hana High and Elementary School, city, Hāna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hāna
Context triple: [Hana High and Elementary School, city, Hāna]
  • A. Hāna chosen
    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.
  • B. Kihei
    Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
  • C. 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.
  • D. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • E. 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.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48ca9988190b60ebd09a135194d completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.