Triple

T11942965
Position Surface form Disambiguated ID Type / Status
Subject Municipality of São Paulo E284223 entity
Predicate seat P75 FINISHED
Object São Paulo City Hall E954277 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 Paulo City Hall | Statement: [Municipality of São Paulo, seat, São Paulo City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: São Paulo City Hall
Context triple: [Municipality of São Paulo, seat, São Paulo City Hall]
  • A. São Paulo City Hall chosen
    São Paulo City Hall is the municipal government authority of São Paulo, Brazil, responsible for administering the city’s public services, infrastructure, and urban policies.
  • B. Rio de Janeiro City Hall
    Rio de Janeiro City Hall is the main administrative headquarters of the city of Rio de Janeiro, housing its executive municipal authorities and central government offices.
  • C. Niterói City Hall
    Niterói City Hall is the main administrative headquarters and executive government building of the Brazilian city of Niterói.
  • D. Recife City Hall
    Recife City Hall is the main municipal government building and administrative center of the city of Recife, Brazil.
  • E. Palácio da Justiça de São Paulo
    Palácio da Justiça de São Paulo is a prominent judicial building in São Paulo, Brazil, known for its grand eclectic architecture and role as the seat of the state’s court of justice.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.