Triple

T8881718
Position Surface form Disambiguated ID Type / Status
Subject Santiago do Cacém E211425 entity
Predicate locatedNear P294 FINISHED
Object Vila Nova de Santo André E764206 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: Vila Nova de Santo André | Statement: [Santiago do Cacém, locatedNear, Vila Nova de Santo André]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Nova de Santo André
Context triple: [Santiago do Cacém, locatedNear, Vila Nova de Santo André]
  • A. Santo André
    Santo André is a major industrial and residential city in the São Paulo metropolitan region of Brazil.
  • B. Santo André chosen
    Santo André is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its coastal location and proximity to the Sines industrial and port complex.
  • C. São Bernardo do Campo
    São Bernardo do Campo is a major industrial city in Brazil known as a key center of the automotive industry within the São Paulo metropolitan area.
  • D. Mogi das Cruzes
    Mogi das Cruzes is a municipality in southeastern Brazil known as part of the Greater São Paulo metropolitan area and recognized for its industrial activity and agricultural production.
  • E. Santo Amaro
    Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc92c2f088190b953de2bfcbb5bb5 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:53 p.m.