Triple

T23483800
Position Surface form Disambiguated ID Type / Status
Subject Asker municipality E570473 entity
Predicate hasCulturalInstitution P105 FINISHED
Object Asker Museum 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: Asker Museum | Statement: [Asker municipality, hasCulturalInstitution, Asker Museum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asker Museum
Context triple: [Asker municipality, hasCulturalInstitution, Asker Museum]
  • A. Asker Museum chosen
    Asker Museum is a local cultural history museum in Asker, Norway, showcasing the region’s heritage, art, and traditions.
  • B. Hedmark Museum
    Hedmark Museum is a regional cultural history museum in Hamar, Norway, known for its exhibitions on the history, archaeology, and heritage of the former Hedmark county.
  • C. Fredrikstad Museum
    Fredrikstad Museum is a local history and cultural museum in Fredrikstad, Norway, showcasing the region’s historical heritage, art, and maritime past.
  • D. Oslo City Museum
    Oslo City Museum is a cultural history museum in Oslo, Norway, dedicated to documenting and presenting the city's urban, social, and architectural development over time.
  • E. Kongsvinger Museum
    Kongsvinger Museum is a local cultural history museum in Kongsvinger, Norway, dedicated to preserving and presenting the region’s historical and cultural 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.