Triple

T19008957
Position Surface form Disambiguated ID Type / Status
Subject Telemark county E465165 entity
Predicate containsMunicipality P852 FINISHED
Object Vinje 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: Vinje | Statement: [Telemark county, containsMunicipality, Vinje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinje
Context triple: [Telemark county, containsMunicipality, Vinje]
  • A. Vinje chosen
    Vinje is a mountainous rural municipality in Vestfold og Telemark county, Norway, known for its lakes, valleys, and role in World War II resistance history.
  • B. Vinje
    Vinje is a small coastal settlement on the island of Gimsøya in Norway’s Lofoten archipelago.
  • C. Žarnovica
    Žarnovica is a small town in central Slovakia known for its location in the Hron River valley and its traditional industrial and mining background.
  • D. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • E. Baranja
    Baranja is a historical and geographical region in eastern Croatia and southern Hungary, known for its fertile plains, vineyards, and multicultural heritage.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a72aa88190a04f13cd14ee77d4 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.