Triple

T4921692
Position Surface form Disambiguated ID Type / Status
Subject Rua da Prata E110479 entity
Predicate isNear P350 FINISHED
Object Rua do Ouro E104042 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 do Ouro | Statement: [Rua da Prata, isNear, Rua do Ouro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua do Ouro
Context triple: [Rua da Prata, isNear, 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. 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. Via do Infante
    Via do Infante is a major Portuguese motorway in the Algarve region that serves as an important east–west transport corridor near the southern coast.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a41ca08190a8fbfa405b15d68c completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.