Triple

T6199628
Position Surface form Disambiguated ID Type / Status
Subject Marquess of Coria E138595 entity
Predicate namedAfter P63 FINISHED
Object Coria E370390 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: Coria | Statement: [Marquess of Coria, namedAfter, Coria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coria
Context triple: [Marquess of Coria, namedAfter, Coria]
  • A. Coria chosen
    Coria is the surname of Argentine former professional tennis player Guillermo Coria, who was one of the world’s top clay-court specialists in the early 2000s.
  • B. Borja
    Borja is a historic town in northeastern Spain known for its wine production and cultural heritage within the Aragon region.
  • C. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • D. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • E. Liria
    Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06253534c8190aafe70a6cf5a67ec completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:20 p.m.