Triple

T12727437
Position Surface form Disambiguated ID Type / Status
Subject Mercado Modelo E304142 entity
Predicate locatedIn P40 FINISHED
Object Cidade Baixa E1001652 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: Cidade Baixa | Statement: [Mercado Modelo, locatedIn, Cidade Baixa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cidade Baixa
Context triple: [Mercado Modelo, locatedIn, Cidade Baixa]
  • A. Cidade Baixa chosen
    Cidade Baixa is the lower, coastal part of Salvador, Brazil, known for its bustling port, markets, and historic commercial districts.
  • B. Cidade Alta
    Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
  • C. Catumbi
    Catumbi is a traditional neighborhood in Rio de Janeiro, Brazil, known for its central location and historical urban character.
  • D. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • E. Cidade Nova
    Cidade Nova is a central neighborhood in Rio de Janeiro, Brazil, known for its mix of residential areas, government offices, and important transport links.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb388488190a30866e9a7a0bc41 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:25 p.m.