Triple

T20017975
Position Surface form Disambiguated ID Type / Status
Subject Surnadal E494771 entity
Predicate hasNeighbour P5707 FINISHED
Object Tingvoll 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: Tingvoll | Statement: [Surnadal, hasNeighbour, Tingvoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tingvoll
Context triple: [Surnadal, hasNeighbour, Tingvoll]
  • A. Tingvoll chosen
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • B. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • C. Håvik
    Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
  • D. Hjørungavåg
    Hjørungavåg is a small coastal village in western Norway, known for its scenic fjord landscape and maritime heritage.
  • E. Austevoll
    Austevoll is a Norwegian island municipality known for its fishing industry and scenic coastal landscape, located off the west coast in the former county of Hordaland.
  • 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.