Triple

T21660680
Position Surface form Disambiguated ID Type / Status
Subject Salesópolis E534584 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Biritiba Mirim NE NERFINISHED

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: Biritiba Mirim | Statement: [Salesópolis, nearbyMunicipality, Biritiba Mirim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biritiba Mirim
Context triple: [Salesópolis, nearbyMunicipality, Biritiba Mirim]
  • A. Biritiba Mirim chosen
    Biritiba Mirim is a small municipality in the state of São Paulo, Brazil, known for its rural character and proximity to the Atlantic Forest.
  • B. Piquinho
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • C. Quixeramobim
    Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
  • D. Pinheirinho
    Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
  • E. Guapimirim
    Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.