Triple

T13452982
Position Surface form Disambiguated ID Type / Status
Subject Sporting de Gijón E311156 entity
Predicate hasRivalryWith P893 FINISHED
Object Real Oviedo E717509 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: Real Oviedo | Statement: [Sporting de Gijón, hasRivalryWith, Real Oviedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Real Oviedo
Context triple: [Sporting de Gijón, hasRivalryWith, Real Oviedo]
  • A. Real Oviedo chosen
    Real Oviedo is a historic Spanish football club based in Oviedo, Asturias, known for its passionate fanbase and fluctuating presence between the top professional divisions.
  • B. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • C. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • D. León de la Barra
    León de la Barra is the surname of Francisco León de la Barra, a Mexican lawyer, diplomat, and interim president of Mexico in 1911.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399c539c819080802b620da6fcfc completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.