Triple

T11913191
Position Surface form Disambiguated ID Type / Status
Subject Prince Pedro Henrique of Orléans-Braganza E283444 entity
Predicate burialPlace P196 FINISHED
Object Vassouras E891147 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: Vassouras | Statement: [Prince Pedro Henrique of Orléans-Braganza, burialPlace, Vassouras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vassouras
Context triple: [Prince Pedro Henrique of Orléans-Braganza, burialPlace, Vassouras]
  • A. Vassouras chosen
    Vassouras is a historic municipality in the state of Rio de Janeiro, Brazil, known for its 19th-century coffee-era architecture and colonial heritage.
  • B. Niterói
    Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
  • C. Maricá
    Maricá is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches, lagoons, and growing residential communities.
  • D. Petrópolis
    Petrópolis is a historic mountain city in Brazil known as the former summer residence of the Brazilian imperial family and for its well-preserved 19th-century architecture.
  • E. Resende
    Resende is a Portuguese municipality in the Douro region, known for its scenic river landscapes and production of cherries and vinho verde.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5753848190b0ab7da327c9aa22 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:44 p.m.