Triple

T1242480
Position Surface form Disambiguated ID Type / Status
Subject Copan Building E26688 entity
Predicate locatedIn P40 FINISHED
Object São Paulo state E60066 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 state | Statement: [Copan Building, locatedIn, São Paulo state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Paulo state
Context triple: [Copan Building, locatedIn, São Paulo state]
  • A. state of São Paulo chosen
    The state of São Paulo is Brazil’s most populous and economically developed state, centered on its capital city of São Paulo, a major global financial and cultural hub.
  • B. State of Rio de Janeiro
    The State of Rio de Janeiro is a coastal state in southeastern Brazil known for its capital city of Rio de Janeiro, major ports, tourism, and significant cultural and economic influence.
  • C. Minas Gerais
    Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
  • D. Paulista
    Paulista is a coastal city in the northeastern Brazilian state of Pernambuco, known for its beaches and proximity to the Recife metropolitan area.
  • E. Mato Grosso do Sul
    Mato Grosso do Sul is a landlocked state in Brazil’s Center-West region, known for its vast Pantanal wetlands, rich biodiversity, and cattle ranching economy.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5ac8a2481908394095e9a6edc6a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:47 p.m.