Triple

T6648922
Position Surface form Disambiguated ID Type / Status
Subject Eusébio E150769 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Toronto Metros-Croatia E365757 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: Toronto Metros-Croatia | Statement: [Eusébio, memberOfSportsTeam, Toronto Metros-Croatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Metros-Croatia
Context triple: [Eusébio, memberOfSportsTeam, Toronto Metros-Croatia]
  • A. Toronto Metros-Croatia chosen
    Toronto Metros-Croatia was a professional soccer club based in Toronto that competed in the North American Soccer League during the 1970s.
  • B. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • C. HNK Rijeka
    HNK Rijeka is a professional Croatian football club based in the coastal city of Rijeka, known for competing in the country’s top league and winning multiple domestic trophies.
  • D. KK Osijek
    KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
  • E. NK Zagreb
    NK Zagreb is a Croatian professional football club based in Zagreb that has competed in the country’s top leagues and developed several notable players.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01fea4c8190a21ba7f4c2018c5e completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef91eb08190a00ae027c21b08bf completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.