Triple

T20324784
Position Surface form Disambiguated ID Type / Status
Subject Marta Vieira da Silva E492303 entity
Predicate club P8194 FINISHED
Object Tyresö FF 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: Tyresö FF | Statement: [Marta Vieira da Silva, club, Tyresö FF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyresö FF
Context triple: [Marta Vieira da Silva, club, Tyresö FF]
  • A. Tyresö FF chosen
    Tyresö FF is a Swedish women's football club that gained international prominence in the early 2010s, notably featuring Brazilian star Marta among its players.
  • B. Trelleborgs FF
    Trelleborgs FF is a Swedish professional football club based in Trelleborg, known for competing in the national league system and for its regional derbies against other Skåne clubs.
  • C. 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.
  • 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. Kalmar FF
    Kalmar FF is a professional Swedish football club based in the city of Kalmar that competes in the country’s top leagues and national competitions.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.