Triple

T23127010
Position Surface form Disambiguated ID Type / Status
Subject E577058 entity
Predicate borders P224 FINISHED
Object Klepp municipality 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: Klepp municipality | Statement: [Hå, borders, Klepp municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klepp municipality
Context triple: [Hå, borders, Klepp municipality]
  • A. Klepp chosen
    Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
  • B. Bjerkreim municipality
    Bjerkreim municipality is a rural local government area in Rogaland county, Norway, known for its rivers, salmon fishing, and agricultural landscape.
  • C. Kongsberg municipality
    Kongsberg municipality is a town and administrative region in Viken county, Norway, historically known for its silver mines and strong technology and defense industries.
  • D. Stord Municipality
    Stord Municipality is a local government area and island community in western Norway known for its maritime industry and role as a regional hub in Vestland county.
  • E. Kleppstad
    Kleppstad is a small coastal village in northern Norway, situated on the island of Austvågøy in the Lofoten archipelago.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.