Triple

T22671488
Position Surface form Disambiguated ID Type / Status
Subject Campo de Borja (comarca) E560228 entity
Predicate hasPart P35 FINISHED
Object Borja 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: Borja | Statement: [Campo de Borja (comarca), hasPart, Borja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borja
Context triple: [Campo de Borja (comarca), hasPart, Borja]
  • A. Borja chosen
    Borja is a historic town in northeastern Spain known for its wine production and cultural heritage within the Aragon region.
  • B. Madoz
    Madoz is a Spanish surname most notably associated with Pascual Madoz, a 19th-century politician, economist, and author of an influential geographical-statistical dictionary of Spain.
  • C. Bordoy
    Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
  • D. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • E. Xavier Loyá
    Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.