Triple

T18847893
Position Surface form Disambiguated ID Type / Status
Subject Baixa Pombalina E460964 entity
Predicate contains P35 FINISHED
Object Rua do Ouro 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 Ouro | Statement: [Baixa Pombalina, contains, Rua do Ouro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua do Ouro
Context triple: [Baixa Pombalina, contains, Rua do Ouro]
  • A. Rua do Ouro chosen
    Rua do Ouro is a historic commercial street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
  • B. Rua da Prata
    Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
  • C. Okavango Road
    Okavango Road is a major roadway in the northern suburbs of Cape Town, South Africa, serving as a key connector for residential and commercial areas including Kraaifontein.
  • D. Castelo Branco Highway
    Castelo Branco Highway is a major Brazilian expressway in the state of São Paulo that serves as a key route connecting the capital to cities in the interior.
  • E. Cândido Portinari Highway
    Cândido Portinari Highway is a major Brazilian roadway in the state of São Paulo that connects important interior cities, including Ribeirão Preto, facilitating regional transport and commerce.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f079b881908759135c5e2619ee completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.