Triple

T7235104
Position Surface form Disambiguated ID Type / Status
Subject Marianne Peretti E155201 entity
Predicate residence P75 FINISHED
Object Brasília, Brazil E34115 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: Brasília, Brazil | Statement: [Marianne Peretti, residence, Brasília, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brasília, Brazil
Context triple: [Marianne Peretti, residence, Brasília, Brazil]
  • A. Brasília chosen
    Brasília is the modernist-planned capital city of Brazil, known for its distinctive architecture and role as a major political and administrative center in South America.
  • B. Brasília Teimosa
    Brasília Teimosa is a coastal neighborhood in Recife, Brazil, known for its working-class roots, history of informal settlement, and vibrant seaside community.
  • C. Planaltina
    Planaltina is one of the administrative regions of Brazil’s Federal District, known for its historic town center and role as a residential area near Brasília.
  • D. Gama, Federal District, Brazil
    Gama, Federal District, Brazil is a satellite city of Brasília known as part of the Federal District’s metropolitan area and recognized as the birthplace of footballer Kaká.
  • E. Manaus
    Manaus is a major Brazilian city and capital of the state of Amazonas, known as a key gateway to the Amazon rainforest and an important industrial and cultural center in the region.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea130e5c819087f74883760fe327 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2d96588190bcf150cbfe4d015c completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.