Triple

T20600014
Position Surface form Disambiguated ID Type / Status
Subject H-2 Interstate Highway E506150 entity
Predicate northernTerminus P388 FINISHED
Object Wahiawā 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: Wahiawā | Statement: [H-2 Interstate Highway, northernTerminus, Wahiawā]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wahiawā
Context triple: [H-2 Interstate Highway, northernTerminus, Wahiawā]
  • A. Wahiawa chosen
    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.
  • B. Wailuku
    Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
  • C. Waipahu
    Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
  • D. 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.
  • 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 (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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.