Triple

T18306122
Position Surface form Disambiguated ID Type / Status
Subject Río Casiguaguas E438487 entity
Predicate flowsThrough P225 FINISHED
Object Boyeros 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: Boyeros | Statement: [Río Casiguaguas, flowsThrough, Boyeros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyeros
Context triple: [Río Casiguaguas, flowsThrough, Boyeros]
  • A. Boyeros chosen
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • B. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. Bisquera
    Bisquera is the family name of Curt Bisquera, an American session drummer known for his work with numerous prominent artists.
  • D. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50183394081909b86cefaaa0a3aa8 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.