Triple

T17829165
Position Surface form Disambiguated ID Type / Status
Subject Rosario Department E445202 entity
Predicate borderedBy P224 FINISHED
Object San Jerónimo Department NE NERFINISHED

How this triple was built (3 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: San Jerónimo Department | Statement: [Rosario Department, borderedBy, San Jerónimo Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Jerónimo Department
Context triple: [Rosario Department, borderedBy, San Jerónimo Department]
  • A. San Luis del Palmar Department
    San Luis del Palmar Department is an administrative division in Corrientes Province, Argentina, known for its rural landscapes and small-town communities centered around the town of San Luis del Palmar.
  • B. Robles Department
    Robles Department is an administrative subdivision in northern Argentina, located within Santiago del Estero Province.
  • C. Santa Bárbara Department
    Santa Bárbara Department is an administrative region in western Honduras known for its mountainous terrain, coffee production, and proximity to the Guatemalan border.
  • D. Cortés Department
    Cortés Department is a key industrial and commercial region in northwestern Honduras that includes the major city of San Pedro Sula and serves as an important transportation and economic hub for the country.
  • E. Santa María Department
    Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Jerónimo Department
Target entity description: San Jerónimo Department is an administrative division in the province of Santa Fe, Argentina, known for its agricultural activities and location in the central region of the province.
  • A. San Luis del Palmar Department
    San Luis del Palmar Department is an administrative division in Corrientes Province, Argentina, known for its rural landscapes and small-town communities centered around the town of San Luis del Palmar.
  • B. Robles Department
    Robles Department is an administrative subdivision in northern Argentina, located within Santiago del Estero Province.
  • C. Santa Bárbara Department
    Santa Bárbara Department is an administrative region in western Honduras known for its mountainous terrain, coffee production, and proximity to the Guatemalan border.
  • D. Cortés Department
    Cortés Department is a key industrial and commercial region in northwestern Honduras that includes the major city of San Pedro Sula and serves as an important transportation and economic hub for the country.
  • E. Santa María Department
    Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
  • F. None of above. chosen

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891696cc819092ee6db7c4a6fae1 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.