Triple

T23348945
Position Surface form Disambiguated ID Type / Status
Subject Rio Zêzere E591951 entity
Predicate flowsThrough P225 FINISHED
Object Fundão 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: Fundão | Statement: [Rio Zêzere, flowsThrough, Fundão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fundão
Context triple: [Rio Zêzere, flowsThrough, Fundão]
  • A. Fundão chosen
    Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
  • B. Fundão
    Fundão is a small coastal municipality in southeastern Brazil known for its beaches and proximity to the state capital, Vitória, in Espírito Santo.
  • C. Garupá
    Garupá is a town in northeastern Argentina’s Misiones Province that forms part of the greater Posadas urban and commuter area.
  • D. Araripe
    Araripe is a municipality in the Cariri region of the Brazilian state of Ceará, known for its rural landscape and cultural traditions of the Northeast.
  • E. Vargem Grande
    Vargem Grande is a largely residential and semi-rural neighborhood located in the western part of Rio de Janeiro, Brazil, known for its green areas and proximity to natural reserves.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.