Triple

T22885650
Position Surface form Disambiguated ID Type / Status
Subject Renato Sanches E567595 entity
Predicate playedFor P2170 FINISHED
Object Benfica 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: Benfica | Statement: [Renato Sanches, playedFor, Benfica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benfica
Context triple: [Renato Sanches, playedFor, Benfica]
  • A. SL Benfica chosen
    SL Benfica is a major Portuguese football club based in Lisbon, renowned for its historic success, large fanbase, and status as one of the country's "Big Three" teams.
  • B. Atlético CP
    Atlético CP is a Portuguese football club based in Lisbon that has competed in the country's professional leagues.
  • C. Sporting CP
    Sporting CP is a major Portuguese football club based in Lisbon, renowned for its successful youth academy that produced stars such as Cristiano Ronaldo.
  • D. Sporting de Braga
    Sporting de Braga is a prominent Portuguese football club based in Braga, known for regularly competing at the top level domestically and in European competitions.
  • E. FC Porto
    FC Porto is a major Portuguese football club based in Porto, renowned for its domestic dominance and multiple European and international titles.
  • 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.