Triple

T22928248
Position Surface form Disambiguated ID Type / Status
Subject Our Lady of Ransom E569367 entity
Predicate originatedInRegion P410 FINISHED
Object Catalonia 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: Catalonia | Statement: [Our Lady of Ransom, originatedInRegion, Catalonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalonia
Context triple: [Our Lady of Ransom, originatedInRegion, Catalonia]
  • A. Catalonia chosen
    Catalonia is an autonomous community in northeastern Spain with a distinct Catalan language and culture, a strong regional identity, and Barcelona as its capital.
  • B. Calatonia
    Calatonia is a fictional city known as the setting for the Moon Theater.
  • C. Catalan Countries
    The Catalan Countries are a cultural and linguistic region in southwestern Europe where the Catalan language is traditionally spoken, encompassing areas in Spain, France, and Italy.
  • D. Aragon
    Aragon is an autonomous community in northeastern Spain, historically significant as a former kingdom and as a key battleground region during major conflicts such as the Spanish Civil War.
  • E. Valencian Community
    The Valencian Community is an autonomous region on Spain’s eastern Mediterranean coast, known for its distinct culture, beaches, and the city of Valencia.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180db6db88190bc8efb691dcdfdba completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.