Triple

T21532972
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate containsCity P294 FINISHED
Object Dourados 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: Dourados | Statement: [Brazilian Midwest, containsCity, Dourados]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dourados
Context triple: [Brazilian Midwest, containsCity, Dourados]
  • A. Dourados chosen
    Dourados is a major agricultural and commercial city in the Brazilian state of Mato Grosso do Sul, known as an important regional economic and educational center.
  • B. Várzea Grande
    Várzea Grande is a city in the Brazilian state of Mato Grosso, located in the central-west region of the country and forming part of the metropolitan area of the state capital, Cuiabá.
  • C. Mourão
    Mourão is a small municipality in Portugal’s Alentejo region, known for its historic castle and proximity to the Alqueva Reservoir.
  • D. Garça
    Garça is the Portuguese term for a heron, a long-legged wading bird commonly found near wetlands and waterways.
  • E. Kungur
    Kungur is a historic Russian town in Perm Krai known for its ice cave, traditional trade heritage, and role as a regional cultural center.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.