Triple

T19881489
Position Surface form Disambiguated ID Type / Status
Subject Praça Duque da Terceira E477784 entity
Predicate adjacentTo P224 FINISHED
Object Rua do Alecrim 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 do Alecrim | Statement: [Praça Duque da Terceira, adjacentTo, Rua do Alecrim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua do Alecrim
Context triple: [Praça Duque da Terceira, adjacentTo, Rua do Alecrim]
  • A. Rua do Alecrim chosen
    Rua do Alecrim is a historic street in central Lisbon, Portugal, known for linking the Chiado area to the Cais do Sodré district and for its traditional shops, cafés, and nightlife.
  • B. Rua da Rosa
    Rua da Rosa is a historic street located in central Lisbon, Portugal, known for its traditional architecture and urban charm.
  • C. Rua da Horta Seca
    Rua da Horta Seca is a historic street in Lisbon’s Chiado area, known for its traditional architecture and central location near major city squares and cultural landmarks.
  • D. Rua dos Fanqueiros
    Rua dos Fanqueiros is a historic commercial street in central Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
  • E. Rua dos Escudeiros
    Rua dos Escudeiros is a historic street located in the old São Nicolau area of central Lisbon, Portugal.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.