Triple

T19838593
Position Surface form Disambiguated ID Type / Status
Subject São Nicolau (former parish) E476661 entity
Predicate contains P35 FINISHED
Object Rua da Rosa
Rua da Rosa is a historic street located in central Lisbon, Portugal, known for its traditional architecture and urban charm.
 E1414229 NE FINISHED

How this triple was built (4 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 Rosa | Statement: [São Nicolau (former parish), contains, Rua da Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rua da Rosa
Context triple: [São Nicolau (former parish), contains, Rua da Rosa]
  • A. Rua do Alecrim
    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 dos Escudeiros
    Rua dos Escudeiros is a historic street located in the old São Nicolau area of central Lisbon, Portugal.
  • C. Rua da Vitória
    Rua da Vitória is a historic street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
  • D. Rua da Prata
    Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
  • E. Rua da Madalena
    Rua da Madalena is a historic street in Lisbon’s city center, known for its traditional shops and proximity to major downtown landmarks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rua da Rosa
Triple: [São Nicolau (former parish), contains, Rua da Rosa]
Generated description
Rua da Rosa is a historic street located in central Lisbon, Portugal, known for its traditional architecture and urban charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rua da Rosa
Target entity description: Rua da Rosa is a historic street located in central Lisbon, Portugal, known for its traditional architecture and urban charm.
  • A. Rua do Alecrim
    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 dos Escudeiros
    Rua dos Escudeiros is a historic street located in the old São Nicolau area of central Lisbon, Portugal.
  • C. Rua da Vitória
    Rua da Vitória is a historic street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
  • D. Rua da Prata
    Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
  • E. Rua da Madalena
    Rua da Madalena is a historic street in Lisbon’s city center, known for its traditional shops and proximity to major downtown landmarks.
  • F. None of above. chosen

Provenance (5 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_6a08345781b48190ace08e9474507514 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a0835241ba08190923317262ac984d4 completed May 16, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_6a08360def9c8190b8a2d48814ee13c8 completed May 16, 2026, 9:17 a.m.
Created at: April 10, 2026, 1:50 p.m.