Triple

T19935006
Position Surface form Disambiguated ID Type / Status
Subject Cidade Universitária metro station E479151 entity
Predicate fareSystem P395 FINISHED
Object Viva Viagem / Navegante 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: Viva Viagem / Navegante | Statement: [Cidade Universitária metro station, fareSystem, Viva Viagem / Navegante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva Viagem / Navegante
Context triple: [Cidade Universitária metro station, fareSystem, Viva Viagem / Navegante]
  • A. Viva Viagem chosen
    Viva Viagem is a rechargeable contactless smart card used for public transportation fares in the Lisbon metropolitan area.
  • B. Boa Viagem
    Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
  • C. Penedo da Saudade
    Penedo da Saudade is a scenic viewpoint and romantic garden in Coimbra, Portugal, known for its panoramic city views and stone plaques engraved with poems and dedications.
  • D. Rua da Saudade
    Rua da Saudade is a historic, picturesque street in Lisbon’s old quarter, known for its traditional charm and views over the city.
  • E. Pingo Doce
    Pingo Doce is a major Portuguese supermarket chain known for its nationwide network of grocery stores and competitive pricing.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.