Triple

T16385268
Position Surface form Disambiguated ID Type / Status
Subject Sunnfjord Municipality E397904 entity
Predicate contains P35 FINISHED
Object Naustdal 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: Naustdal | Statement: [Sunnfjord Municipality, contains, Naustdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naustdal
Context triple: [Sunnfjord Municipality, contains, Naustdal]
  • A. Naustdal chosen
    Naustdal is a small coastal village and former municipality in Vestland county, western Norway, known for its fjord landscape and salmon-rich Nausta River.
  • B. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • C. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • D. Norddal
    Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
  • E. Valldal
    Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263c60088190b85a8c02bc3ef315 completed April 18, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:08 a.m.