Triple

T23503566
Position Surface form Disambiguated ID Type / Status
Subject JK Bridge E572221 entity
Predicate connects P390 FINISHED
Object Paranoá 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: Paranoá | Statement: [JK Bridge, connects, Paranoá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paranoá
Context triple: [JK Bridge, connects, Paranoá]
  • A. Paranoá Lake chosen
    Paranoá Lake is a large artificial lake in Brasília, Brazil, created to increase humidity in the region and serve as a scenic and recreational centerpiece of the capital.
  • B. Parque da Água Branca
    Parque da Água Branca is a traditional urban park in São Paulo, Brazil, known for its green areas, cultural activities, and preserved rural-style architecture amid the city.
  • C. Vale do Sapucaí
    Vale do Sapucaí is a region in the state of Minas Gerais, Brazil, known for its river valleys, small cities, and agricultural and technological activities.
  • D. Poço das Antas
    Poço das Antas is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its rural landscape and agricultural activities.
  • E. Parque Lage
    Parque Lage is a historic public park in Rio de Janeiro, Brazil, known for its lush gardens, walking trails, and a grand mansion that houses a visual arts school at the foot of Corcovado Mountain.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fe1e3081908c4a9df4e137b9b3 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.