Triple

T7772662
Position Surface form Disambiguated ID Type / Status
Subject Ipiranga River E179109 entity
Predicate flowsThrough P225 FINISHED
Object Ipiranga district E476130 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: Ipiranga district | Statement: [Ipiranga River, flowsThrough, Ipiranga district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ipiranga district
Context triple: [Ipiranga River, flowsThrough, Ipiranga district]
  • A. Ipiranga district chosen
    The Ipiranga district is a historic neighborhood in São Paulo, Brazil, known as the site where Brazilian independence was proclaimed and home to key national monuments and museums.
  • B. Água Grande District
    Água Grande District is an administrative district on São Tomé Island that includes the nation’s capital city, São Tomé, and serves as the political and economic center of São Tomé and Príncipe.
  • C. Candeias district
    Candeias district is a coastal urban neighborhood of Jaboatão dos Guararapes in Pernambuco, Brazil, known for its beach and residential areas.
  • D. Taquaritinga
    Taquaritinga is a municipality in the interior of Brazil’s São Paulo state, known for its agricultural production and regional commerce.
  • E. Indaiatuba
    Indaiatuba is a rapidly growing municipality in southeastern Brazil known for its strong industrial base, high quality of life, and proximity to the city of Campinas.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.