Triple

T13954840
Position Surface form Disambiguated ID Type / Status
Subject Peter Stormare E335627 entity
Predicate placeOfBirth P1 FINISHED
Object Arbrå E331522 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: Arbrå | Statement: [Peter Stormare, placeOfBirth, Arbrå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbrå
Context triple: [Peter Stormare, placeOfBirth, Arbrå]
  • A. Arbrå chosen
    Arbrå is a small locality in Gävleborg County, Sweden, known as the birthplace of actor Peter Stormare.
  • B. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • C. Trollbäcken
    Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Arvidsjaur
    Arvidsjaur is a small town in northern Sweden known for its military presence, winter testing facilities, and proximity to Arctic wilderness.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d0735c81909ec0eab090af08a1 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.