Triple

T14597710
Position Surface form Disambiguated ID Type / Status
Subject Igreja Matriz de São Sebastião E342615 entity
Predicate namedAfter P63 FINISHED
Object São Sebastião unclear NED1 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: São Sebastião | Statement: [Igreja Matriz de São Sebastião, namedAfter, São Sebastião]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Sebastião
Context triple: [Igreja Matriz de São Sebastião, namedAfter, São Sebastião]
  • A. São Sebastião
    São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • B. São Sebastião
    São Sebastião is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, tourism, and role as a port city.
  • C. São Sebastião do Rio de Janeiro
    São Sebastião do Rio de Janeiro is the formal, historical name of the Brazilian city of Rio de Janeiro, originally dedicated to Saint Sebastian.
  • D. Nazaré Paulista
    Nazaré Paulista is a municipality in the state of São Paulo, Brazil, known for its natural landscapes and reservoirs that supply water to the metropolitan region.
  • E. Armação dos Búzios
    Armação dos Búzios is a popular Brazilian coastal resort town in the state of Rio de Janeiro, renowned for its beaches, nightlife, and upscale tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb436d92881908fdf9267568feee2 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c81e608190848c290defcd84ac completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.