Triple

T10946124
Position Surface form Disambiguated ID Type / Status
Subject Cesena E258600 entity
Predicate hasFootballClub P346 FINISHED
Object AC Cesena E720697 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: AC Cesena | Statement: [Cesena, hasFootballClub, AC Cesena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AC Cesena
Context triple: [Cesena, hasFootballClub, AC Cesena]
  • A. Cesena FC chosen
    Cesena FC is an Italian professional football club based in Cesena, Emilia-Romagna, known for its fluctuating history between Serie A and the lower divisions.
  • B. Empoli FC
    Empoli FC is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and for its regional rivalry with Fiorentina.
  • C. A.C. Reggiana
    A.C. Reggiana is an Italian football club based in Reggio Emilia, known for its traditional presence in the country's professional leagues.
  • D. Reggina
    Reggina is an Italian professional football club from Reggio Calabria, known for its passionate fan base and history of competing in the country's top divisions.
  • E. Ascoli Calcio
    Ascoli Calcio is an Italian professional football club based in Ascoli Piceno, known for competing primarily in Serie B and occasionally in Serie A.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.