Triple

T12038157
Position Surface form Disambiguated ID Type / Status
Subject Vinjesvingen E286592 entity
Predicate locatedInMunicipality P40 FINISHED
Object Vinje E286593 NE FINISHED

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: [Vinjesvingen, locatedInMunicipality, Vinje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinje
Context triple: [Vinjesvingen, locatedInMunicipality, 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. 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.
  • C. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • D. Baranja
    Baranja is a historical and geographical region in eastern Croatia and southern Hungary, known for its fertile plains, vineyards, and multicultural heritage.
  • E. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d8a9af881909e28783b0d83ed82 completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.