Triple

T20017865
Position Surface form Disambiguated ID Type / Status
Subject Ulsteinvik E494768 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Hareid 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: Hareid | Statement: [Ulsteinvik, hasNeighbouringMunicipality, Hareid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hareid
Context triple: [Ulsteinvik, hasNeighbouringMunicipality, Hareid]
  • A. Hareid chosen
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • B. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • C. Herdla
    Herdla is a small island in western Norway known for its coastal nature reserve, birdlife, and remnants of World War II fortifications.
  • D. Häger
    Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
  • E. Herrieden
    Herrieden is a historic small town in the Middle Franconia region of Bavaria, Germany, known for its well-preserved medieval character and location along the Altmühl River.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.