Triple

T19085853
Position Surface form Disambiguated ID Type / Status
Subject BR-163 highway E467146 entity
Predicate connectsTo P845 FINISHED
Object BR-230 highway 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: BR-230 highway | Statement: [BR-163 highway, connectsTo, BR-230 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BR-230 highway
Context triple: [BR-163 highway, connectsTo, BR-230 highway]
  • A. BR-235 highway
    BR-235 highway is a major Brazilian federal road that traverses the country’s Northeast and North regions, linking coastal cities like Aracaju to inland states and agricultural areas.
  • B. BR-280 highway
    BR-280 highway is a major federal road in southern Brazil that links coastal cities in Santa Catarina to inland regions, supporting regional commerce and transportation.
  • C. BR-230 chosen
    BR-230 is a major Brazilian federal highway, known as the Trans-Amazonian Highway, that crosses several states in the north and northeast of Brazil.
  • D. BR-040 highway
    BR-040 highway is a major Brazilian federal road that links Rio de Janeiro to Brasília and extends toward the state of Minas Gerais, serving as a key corridor for passenger and freight transport.
  • E. BR-267
    BR-267 is a federal highway in Brazil that connects several cities across multiple states in the southeastern region of the country.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e346f57c8190a6299e09a0be9e05 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.