Triple

T11973501
Position Surface form Disambiguated ID Type / Status
Subject Brusque E284978 entity
Predicate locatedIn P40 FINISHED
Object Santa Catarina E291275 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 Catarina | Statement: [Brusque, locatedIn, Santa Catarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Catarina
Context triple: [Brusque, locatedIn, Santa Catarina]
  • A. Santa Catarina
    Santa Catarina is an industrial and residential city in the Monterrey metropolitan area of the Mexican state of Nuevo León.
  • B. Santa Catarina
    Santa Catarina is a neighborhood in Mexico City known for its residential character and proximity to the Miguel Ángel de Quevedo metro station.
  • C. Santa Catarina chosen
    Santa Catarina is a southern Brazilian state known for its strong German cultural heritage, picturesque coastal and mountainous landscapes, and significant industrial and agricultural economy.
  • D. Santa Catarina
    Santa Catarina was a richly laden Portuguese merchant carrack seized by the Dutch East India Company in 1603, whose capture became a landmark case in the development of international maritime law and Dutch colonial expansion.
  • E. Rio Grande do Sul
    Rio Grande do Sul is Brazil’s southernmost state, known for its gaucho culture, strong agricultural economy, and shared borders with Uruguay and Argentina.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
Created at: April 8, 2026, 9:46 p.m.