Triple

T4691460
Position Surface form Disambiguated ID Type / Status
Subject Rua do Ouro E104042 entity
Predicate locatedNear P294 FINISHED
Object Rua da Prata E110479 NE FINISHED

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: [Rua do Ouro, locatedNear, Rua da Prata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua da Prata
Context triple: [Rua do Ouro, locatedNear, 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 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.
  • C. Rodovia Dom Pedro I
    Rodovia Dom Pedro I is a major Brazilian highway in the state of São Paulo that connects important interior cities and serves as a key corridor for regional commerce and travel.
  • D. Avenida Pedro Álvares Cabral
    Avenida Pedro Álvares Cabral is a major avenue in São Paulo, Brazil, known for bordering the iconic Ibirapuera Park and serving as an important urban traffic corridor.
  • E. Rodovia dos Bandeirantes
    Rodovia dos Bandeirantes is a major Brazilian highway in the state of São Paulo, known for its modern infrastructure and for connecting the São Paulo metropolitan area with key interior cities like Campinas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639c94608190808e535d0abd08a0 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03bd47b08190a3d2a174eb2f7b2e completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.