Triple

T22885656
Position Surface form Disambiguated ID Type / Status
Subject Renato Sanches E567595 entity
Predicate playedFor P2170 FINISHED
Object AS Roma 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: AS Roma | Statement: [Renato Sanches, playedFor, AS Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AS Roma
Context triple: [Renato Sanches, playedFor, AS Roma]
  • A. A.S. Roma chosen
    A.S. Roma is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fanbase and historic rivalries.
  • B. LAZIO
    LAZIO is a central Italian region that includes Rome and is known for its historical, cultural, and political significance.
  • C. S.S. Lazio
    S.S. Lazio is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fan base and historic rivalry with AS Roma.
  • D. S.S.C. Napoli
    S.S.C. Napoli is a professional Italian football club based in Naples, known for its passionate fanbase and successes in Serie A and European competitions.
  • E. Fiorentina
    Fiorentina is a prominent professional football club based in Florence, Italy, known for its rich history, passionate fanbase, and distinctive purple kits.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc0cdb081908107d40069d9735f completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.