Triple

T19680698
Position Surface form Disambiguated ID Type / Status
Subject Skara E472576 entity
Predicate partOf P40 FINISHED
Object Skara Municipality 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: Skara Municipality | Statement: [Skara, partOf, Skara Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skara Municipality
Context triple: [Skara, partOf, Skara Municipality]
  • A. Skara Municipality chosen
    Skara Municipality is a local government area in Västra Götaland County in western Sweden, known for its historic towns and medieval heritage.
  • B. Markaryd Municipality
    Markaryd Municipality is a local government area in southern Sweden known for its forests, lakes, and small-town communities within Kronoberg County.
  • C. Arvika Municipality
    Arvika Municipality is a local government area in western Sweden known for its lakeside town of Arvika, cultural events, and surrounding forests and countryside.
  • D. Mora Municipality
    Mora Municipality is a local administrative region in Portugal known for its rural landscapes, traditional Alentejo culture, and archaeological and natural heritage.
  • E. Mora Municipality
    Mora Municipality is a local government area in Dalarna County, central Sweden, known for its town of Mora and the annual Vasaloppet cross-country ski race.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.