Triple

T17614149
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad Municipality E429039 entity
Predicate contains P35 FINISHED
Object Uskedalen 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: Uskedalen | Statement: [Kvinnherad Municipality, contains, Uskedalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uskedalen
Context triple: [Kvinnherad Municipality, contains, Uskedalen]
  • A. Uskedalen chosen
    Uskedalen is a village in Vestland county, Norway, situated in a valley by the Hardangerfjorden and known for its scenic fjord landscape and outdoor recreation.
  • B. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • C. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • D. Vedvik
    Vedvik is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • E. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2fd96481908c9f3b566fca6907 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.