Triple

T21430654
Position Surface form Disambiguated ID Type / Status
Subject Humacao E528674 entity
Predicate borderedByMunicipality P33892 FINISHED
Object Las Piedras 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: Las Piedras | Statement: [Humacao, borderedByMunicipality, Las Piedras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Piedras
Context triple: [Humacao, borderedByMunicipality, Las Piedras]
  • A. Las Piedras chosen
    Las Piedras is a municipality in eastern Puerto Rico known for its suburban communities and proximity to the island’s metropolitan area.
  • B. Las Piedras
    Las Piedras is a town in Uruguay historically notable as the site of the pivotal Battle of Las Piedras during the country’s struggle for independence.
  • C. Piedras
    Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
  • D. Manos de Piedra
    Manos de Piedra is the famous nickname of Panamanian boxing legend Roberto Durán, renowned for his exceptional punching power.
  • E. Paredones
    Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.