Triple

T22226592
Position Surface form Disambiguated ID Type / Status
Subject Brann E549353 entity
Predicate shortName P43 FINISHED
Object Brann 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: Brann | Statement: [Brann, shortName, Brann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brann
Context triple: [Brann, shortName, Brann]
  • A. Brann chosen
    Brann is a prominent Norwegian football club based in Bergen, known for its passionate fanbase and historic presence in the Eliteserien.
  • B. Storhamar Dragons
    Storhamar Dragons is a Norwegian professional ice hockey team based in Hamar, known for its success in the country’s top league.
  • C. Lillebror
    Lillebror is the young boy protagonist who befriends the mischievous flying man Karlsson in Astrid Lindgren’s beloved children’s stories.
  • D. Soneren
    Soneren is a lake located in the municipality of Sigdal in Viken county, Norway, known for its scenic natural surroundings and outdoor recreation opportunities.
  • E. The Steelmen
    The Steelmen is the nickname of Motherwell F.C., a Scottish professional football club traditionally associated with the steel industry in the town of Motherwell.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bee8de8819091ec5d14ea057f9e completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.