Triple

T19921952
Position Surface form Disambiguated ID Type / Status
Subject Pascual Pérez E478817 entity
Predicate placeOfBirth P1 FINISHED
Object Las Heras, Mendoza, Argentina — 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: Las Heras, Mendoza, Argentina | Statement: [Pascual Pérez, placeOfBirth, Las Heras, Mendoza, Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Las Heras, Mendoza, Argentina
Context triple: [Pascual Pérez, placeOfBirth, Las Heras, Mendoza, Argentina]
  • A. San Martín, Mendoza
    San Martín, Mendoza is a city in Argentina’s Mendoza Province known for its agricultural production, particularly vineyards and wineries, within the country’s main wine-growing region.
  • B. San Miguel, Buenos Aires Province, Argentina
    San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, serving as an important administrative, commercial, and religious center in Buenos Aires Province.
  • C. Bell Ville, Córdoba, Argentina
    Bell Ville, Córdoba, Argentina is a small city in central Argentina best known as the hometown of legendary footballer Mario Kempes.
  • D. Santa Rosa, La Pampa
    Santa Rosa, La Pampa is the capital city of Argentina’s La Pampa Province, known as an administrative, commercial, and cultural center in the country’s central Pampas region.
  • E. Rosario, Santa Fe, Argentina
    Rosario, in the province of Santa Fe, is one of Argentina’s largest and most important port cities, known for its industrial activity, cultural life, and as the birthplace of several notable figures including Lionel Messi.
  • 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: Las Heras, Mendoza, Argentina
Target entity description: Las Heras, Mendoza, Argentina is a city in the Greater Mendoza metropolitan area known for its role in the province’s wine-producing region and as the birthplace of notable Argentine boxer Pascual Pérez.
  • A. San Martín, Mendoza
    San Martín, Mendoza is a city in Argentina’s Mendoza Province known for its agricultural production, particularly vineyards and wineries, within the country’s main wine-growing region.
  • B. San Miguel, Buenos Aires Province, Argentina
    San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, serving as an important administrative, commercial, and religious center in Buenos Aires Province.
  • C. Bell Ville, Córdoba, Argentina
    Bell Ville, Córdoba, Argentina is a small city in central Argentina best known as the hometown of legendary footballer Mario Kempes.
  • D. Santa Rosa, La Pampa
    Santa Rosa, La Pampa is the capital city of Argentina’s La Pampa Province, known as an administrative, commercial, and cultural center in the country’s central Pampas region.
  • E. Rosario, Santa Fe, Argentina
    Rosario, in the province of Santa Fe, is one of Argentina’s largest and most important port cities, known for its industrial activity, cultural life, and as the birthplace of several notable figures including Lionel Messi.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c6919c8190a96106532580b6b6 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.