Triple

T22048494
Position Surface form Disambiguated ID Type / Status
Subject Caitlin Foord E544822 entity
Predicate memberOfSportsTeam P330 FINISHED
Object FC Rosengård 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: FC Rosengård | Statement: [Caitlin Foord, memberOfSportsTeam, FC Rosengård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Rosengård
Context triple: [Caitlin Foord, memberOfSportsTeam, FC Rosengård]
  • A. FC Rosengård chosen
    FC Rosengård is a leading Swedish women's football club based in Malmö, renowned for its domestic dominance and regular participation in European competitions.
  • B. IFK Norrköping
    IFK Norrköping is a Swedish professional football club based in Norrköping that competes in the country’s top leagues and has a rich domestic history.
  • C. IFK Göteborg
    IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
  • D. Södertälje FK
    Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
  • E. Hammarby IF
    Hammarby IF is a Swedish sports club from Stockholm best known for its passionate fan base and prominent football team competing in the country’s top divisions.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283191e48190b4ddc84138243327 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.