Triple

T22025642
Position Surface form Disambiguated ID Type / Status
Subject Ali Daei E543953 entity
Predicate playedFor P2170 FINISHED
Object Saipa F.C. 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: Saipa F.C. | Statement: [Ali Daei, playedFor, Saipa F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saipa F.C.
Context triple: [Ali Daei, playedFor, Saipa F.C.]
  • A. Saipa FC chosen
    Saipa FC is an Iranian professional football club based in Tehran, known for competing in the country’s top division and for its association with the Saipa automotive company.
  • B. Navua F.C.
    Navua F.C. is a Fijian football club that competes in the country’s national soccer competitions.
  • C. Ba F.C.
    Ba F.C. is a prominent Fijian football club based in the town of Ba, known for its success in the country’s top domestic competitions.
  • D. Senrab F.C.
    Senrab F.C. is a renowned East London youth football club famous for producing numerous top-level professional players, including several future England internationals.
  • E. Moroka Swallows F.C.
    Moroka Swallows F.C. is a historic South African football club from Soweto, known as one of the country’s oldest and most traditional teams.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.