Triple

T21991788
Position Surface form Disambiguated ID Type / Status
Subject Florian E543106 entity
Predicate hasVariant P455 FINISHED
Object Floriano 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: Floriano | Statement: [Florian, hasVariant, Floriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floriano
Context triple: [Florian, hasVariant, Floriano]
  • A. Floriano chosen
    Floriano is a municipality in the Brazilian state of Piauí, known as an important commercial and cultural center in the region.
  • B. Taquari
    Taquari is a municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its location along the Taquari River and its historical significance in the state’s inland development.
  • C. Deodoro
    Deodoro is a neighborhood in the western part of Rio de Janeiro, Brazil, known for its large military presence and sports facilities that hosted events during the 2016 Summer Olympics.
  • D. Gusmão
    Gusmão is a Portuguese-origin surname notably borne by East Timorese independence leader and statesman Kay Rala Xanana Gusmão.
  • E. Theotonio dos Santos
    Theotonio dos Santos was a Brazilian Marxist economist and sociologist known as one of the principal architects of dependency theory in Latin American social thought.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270e951081908deda039b47ca84b completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.