Triple

T17546906
Position Surface form Disambiguated ID Type / Status
Subject Camprodon E427350 entity
Predicate hasLandmark P105 FINISHED
Object Church of Santa Maria NE NERFINISHED

How this triple was built (3 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: Church of Santa Maria | Statement: [Camprodon, hasLandmark, Church of Santa Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Church of Santa Maria
Context triple: [Camprodon, hasLandmark, Church of Santa Maria]
  • A. Church of Santa Maria
    The Church of Santa Maria is a historic Romanesque church in Terrassa, Catalonia, notable for its medieval architecture and role in the city's early Christian complex.
  • B. Church of Santa María
    The Church of Santa María is a historic Catholic church in Miranda de Ebro, Spain, notable for its medieval architecture and religious significance in the region.
  • C. Church of Santa María
    The Church of Santa María is a historic Catholic church in the town of Peñafiel, Spain, noted for its traditional architecture and religious significance.
  • D. Church of Santa Maria Assunta
    The Church of Santa Maria Assunta is a historic Catholic church in the Renaissance-planned town of Sabbioneta in northern Italy, noted for its architectural and artistic heritage.
  • E. Church of Santa Maria Assunta
    The Church of Santa Maria Assunta is a historic Catholic church in Guastalla, Italy, notable for its religious significance and characteristic Italian ecclesiastical architecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Church of Santa Maria
Target entity description: The Church of Santa Maria is a historic Romanesque church in the Catalan town of Camprodon, known for its medieval architecture and cultural significance.
  • A. Church of Santa Maria
    The Church of Santa Maria is a historic Romanesque church in Terrassa, Catalonia, notable for its medieval architecture and role in the city's early Christian complex.
  • B. Church of Santa María
    The Church of Santa María is a historic Catholic church in the town of Peñafiel, Spain, noted for its traditional architecture and religious significance.
  • C. Church of Santa María
    The Church of Santa María is a historic Catholic church in Miranda de Ebro, Spain, notable for its medieval architecture and religious significance in the region.
  • D. Church of Santa Maria Assunta
    The Church of Santa Maria Assunta is a historic Catholic church in the Renaissance-planned town of Sabbioneta in northern Italy, noted for its architectural and artistic heritage.
  • E. Church of Santa Maria Assunta
    The Church of Santa Maria Assunta is a historic Catholic church in Guastalla, Italy, notable for its religious significance and characteristic Italian ecclesiastical architecture.
  • F. None of above. chosen

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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.