Triple

T19838570
Position Surface form Disambiguated ID Type / Status
Subject São Nicolau (former parish) E476661 entity
Predicate contains P35 FINISHED
Object Rua dos Sapateiros E1360526 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 dos Sapateiros | Statement: [São Nicolau (former parish), contains, Rua dos Sapateiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rua dos Sapateiros
Context triple: [São Nicolau (former parish), contains, Rua dos Sapateiros]
  • A. Rua dos Sapateiros chosen
    Rua dos Sapateiros is a historic street in central Lisbon, Portugal, known for its traditional shops and location within the city’s old downtown area.
  • B. Rua dos Remédios
    Rua dos Remédios is a traditional, narrow street in Lisbon’s historic Alfama district, known for its old houses, local eateries, and characteristic neighborhood atmosphere.
  • C. 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.
  • D. Rua do Crucifixo
    Rua do Crucifixo is a street in central Lisbon, Portugal, situated in the historic Baixa district near major landmarks and commercial areas.
  • E. Rua dos Bacalhoeiros
    Rua dos Bacalhoeiros is a historic street in Lisbon’s central Baixa/Alfama area, known for its traditional shops and proximity to the city’s waterfront and main tourist sights.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65803bb988190a4e7c0035058feba completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccdd93288190947d532bb4fed089 completed May 16, 2026, 1:48 a.m.
Created at: April 10, 2026, 1:50 p.m.