Triple

T10064366
Position Surface form Disambiguated ID Type / Status
Subject Museu da Chácara do Céu E213062 entity
Predicate locatedIn P40 FINISHED
Object Santa Teresa E39169 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: Santa Teresa | Statement: [Museu da Chácara do Céu, locatedIn, Santa Teresa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Teresa
Context triple: [Museu da Chácara do Céu, locatedIn, Santa Teresa]
  • A. Santa Teresa chosen
    Santa Teresa is a historic, bohemian hilltop neighborhood in Rio de Janeiro known for its winding streets, colonial mansions, and vibrant arts scene.
  • B. Santa Teresa Cora
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • C. Santa Rosa de Lima
    Santa Rosa de Lima is a 17th-century Peruvian mystic and member of the Dominican Order venerated as the first canonized saint of the Americas and the patron saint of Peru and Latin America.
  • D. Santa Isabel
    Santa Isabel was the colonial capital city of Spanish Equatorial Guinea, serving as the administrative and political center during Spanish rule.
  • E. Santa Isabel
    Santa Isabel was a Spanish expedition ship associated with the Santa Cruz colony during the era of New World exploration.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd653748190aeddf7a679028604 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a84c3308190ba9286053c1017dc completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.