Triple

T18858478
Position Surface form Disambiguated ID Type / Status
Subject Porto Real E461240 entity
Predicate roadAccess P385 FINISHED
Object BR-393 NE NERFINISHED

How this triple was built (3 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: BR-393 | Statement: [Porto Real, roadAccess, BR-393]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BR-393
Context triple: [Porto Real, roadAccess, BR-393]
  • A. BR-304
    BR-304 is a major federal highway in northeastern Brazil that connects key cities in Rio Grande do Norte and Ceará, including Mossoró, and serves as an important regional transport corridor.
  • B. BR-43
    BR-43 is the vehicle registration code assigned to the Madhepura district in the Indian state of Bihar.
  • C. BR-277
    BR-277 is a major Brazilian federal highway in Paraná state that links the inland region to the western border city of Foz do Iguaçu and the Iguaçu Falls area.
  • D. BR-27
    BR-27 is the vehicle registration code assigned to the Nawada district in the Indian state of Bihar.
  • E. BR-040
    BR-040 is a major Brazilian federal highway that connects key cities including Rio de Janeiro, Juiz de Fora, Belo Horizonte, and Brasília.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BR-393
Target entity description: BR-393 is a federal highway in Brazil that connects several municipalities in the state of Rio de Janeiro, serving as an important regional transport corridor.
  • A. BR-304
    BR-304 is a major federal highway in northeastern Brazil that connects key cities in Rio Grande do Norte and Ceará, including Mossoró, and serves as an important regional transport corridor.
  • B. BR-43
    BR-43 is the vehicle registration code assigned to the Madhepura district in the Indian state of Bihar.
  • C. BR-277
    BR-277 is a major Brazilian federal highway in Paraná state that links the inland region to the western border city of Foz do Iguaçu and the Iguaçu Falls area.
  • D. BR-27
    BR-27 is the vehicle registration code assigned to the Nawada district in the Indian state of Bihar.
  • E. BR-040
    BR-040 is a major Brazilian federal highway that connects key cities including Rio de Janeiro, Juiz de Fora, Belo Horizonte, and Brasília.
  • F. None of above. chosen

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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.