Triple

T19403449
Position Surface form Disambiguated ID Type / Status
Subject São Domingos E485386 entity
Predicate hasSettlement P1068 FINISHED
Object Cidade de São Domingos NE NERFINISHED

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 de São Domingos | Statement: [São Domingos, hasSettlement, Cidade de São Domingos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cidade de São Domingos
Context triple: [São Domingos, hasSettlement, Cidade de São Domingos]
  • A. São Domingos
    São Domingos is a civil parish within the municipality of Santiago do Cacém in Portugal, known for its rural character and traditional Alentejo landscape.
  • B. São Domingos chosen
    São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
  • C. Bonfim
    Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
  • D. Vila de Rei
    Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
  • E. São Francisco do Conde
    São Francisco do Conde is a coastal municipality in the state of Bahia, Brazil, known for its historical ties to the sugarcane industry and its location within the metropolitan area of Salvador.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257937d081909dbc5804d2505938 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.