Triple

T5689187
Position Surface form Disambiguated ID Type / Status
Subject Northeast Region of Brazil E125386 entity
Predicate hasPart P35 FINISHED
Object Sertão E534369 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: Sertão | Statement: [Northeast Region of Brazil, hasPart, Sertão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sertão
Context triple: [Northeast Region of Brazil, hasPart, Sertão]
  • A. Sertão Sergipano
    Sertão Sergipano is the semi-arid hinterland region of the Brazilian state of Sergipe, characterized by dry climate, caatinga vegetation, and traditional rural communities.
  • B. Brazilian semi-arid region chosen
    The Brazilian semi-arid region is a vast, predominantly dry area in northeastern Brazil characterized by low and irregular rainfall, caatinga vegetation, and frequent droughts.
  • C. Caieiras
    Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
  • D. Mineirão
    Mineirão is a major football stadium in Belo Horizonte, Brazil, known for hosting prominent international matches and tournaments.
  • E. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e1c6148190aeae7620bd9ee9d4 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd1758c8190ad92f250e5927c0b completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:44 p.m.