Triple

T14767967
Position Surface form Disambiguated ID Type / Status
Subject Figueres CF E347048 entity
Predicate hasAbbreviation P43 FINISHED
Object Figueres CF E347048 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: Figueres CF | Statement: [Figueres CF, hasAbbreviation, Figueres CF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figueres CF
Context triple: [Figueres CF, hasAbbreviation, Figueres CF]
  • A. Figueres CF chosen
    Figueres CF is a Spanish football club based in Figueres, Catalonia, that has competed primarily in the lower divisions of Spanish football.
  • B. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • C. Lleida Esportiu
    Lleida Esportiu is a Spanish football club based in the city of Lleida, Catalonia, competing in the lower divisions of the national league system.
  • D. Balaguer CF
    Balaguer CF is a Spanish football club that has featured players such as former professional footballer and manager Roberto Martínez.
  • E. Algeciras CF
    Algeciras CF is a Spanish football club based in Algeciras, Andalusia, competing in the lower divisions of the national league system.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b41df881908119e183b8299c48 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.