Triple

T19126105
Position Surface form Disambiguated ID Type / Status
Subject Santa Maria Maior (Lisbon) E468186 entity
Predicate contains P35 FINISHED
Object Rua da Prata 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: Rua da Prata | Statement: [Santa Maria Maior (Lisbon), contains, Rua da Prata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua da Prata
Context triple: [Santa Maria Maior (Lisbon), contains, Rua da Prata]
  • A. Rua da Prata chosen
    Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
  • B. Rua de São Paulo
    Rua de São Paulo is a notable street in Lisbon’s historic center, known for its traditional architecture, nightlife, and proximity to the city’s iconic riverside and hilltop neighborhoods.
  • C. Rua de São Sebastião
    Rua de São Sebastião is a street in Coimbra, Portugal, situated in the historic area near the São Sebastião Aqueduct.
  • D. Rua de São Bento
    Rua de São Bento is a notable street in Lisbon, Portugal, known for housing the Portuguese Parliament building and connecting key areas of the city’s historic center.
  • E. Rua do Ouro
    Rua do Ouro is a historic commercial street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cc5ba08190a1073f2836caf5d3 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.