Triple

T22995498
Position Surface form Disambiguated ID Type / Status
Subject Recife public transport network E572176 entity
Predicate serviceAreaIncludes P82 FINISHED
Object Camaragibe 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: Camaragibe | Statement: [Recife public transport network, serviceAreaIncludes, Camaragibe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camaragibe
Context triple: [Recife public transport network, serviceAreaIncludes, Camaragibe]
  • A. Camaragibe chosen
    Camaragibe is a municipality in the state of Pernambuco, Brazil, known as part of the urban area surrounding the city of Recife.
  • B. Olinda
    Olinda is a historic coastal city in northeastern Brazil renowned for its well-preserved colonial architecture and vibrant Carnival celebrations.
  • C. Maicao
    Maicao is a Colombian border city in the northeastern La Guajira region, known as a major commercial hub with significant Arab and Wayuu indigenous communities.
  • D. Riohacha
    Riohacha is a coastal city in northern Colombia and the capital of La Guajira Department, known for its Caribbean beaches and Wayuu indigenous culture.
  • E. Baracoa
    Baracoa is a historic coastal city in eastern Cuba, known as the island’s oldest Spanish settlement and for its lush tropical landscape and cocoa production.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f25af48190a98b7baeec824ae6 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.