Triple

T19884627
Position Surface form Disambiguated ID Type / Status
Subject Câmara dos Deputados E477864 entity
Predicate meetsIn P40 FINISHED
Object Palácio do Congresso Nacional 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: Palácio do Congresso Nacional | Statement: [Câmara dos Deputados, meetsIn, Palácio do Congresso Nacional]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palácio do Congresso Nacional
Context triple: [Câmara dos Deputados, meetsIn, Palácio do Congresso Nacional]
  • A. National Congress building chosen
    The National Congress building is an iconic modernist government complex in Brasília, Brazil, designed by Oscar Niemeyer to house the country’s federal legislature.
  • B. Palacio del Congreso
    Palacio del Congreso is the principal legislative building in Asunción that houses Paraguay’s national congress.
  • C. El Capitolio
    El Capitolio is a grand neoclassical building in Havana that once housed Cuba’s national congress and now serves as one of the city’s most iconic architectural symbols.
  • D. Capitol Building
    The Capitol Building is the main seat of Liberia’s national legislature in Monrovia, housing both chambers of the country’s parliament.
  • E. 国会議事堂
    国会議事堂は、日本の立法府である国会が開かれる東京都千代田区永田町に位置する日本の政治の中枢となる建物である。
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.