Triple

T21741125
Position Surface form Disambiguated ID Type / Status
Subject Daniel Passarella E536660 entity
Predicate placeOfBirth P1 FINISHED
Object Chacabuco, Buenos Aires Province, 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: Chacabuco, Buenos Aires Province, Argentina | Statement: [Daniel Passarella, placeOfBirth, Chacabuco, Buenos Aires Province, Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chacabuco, Buenos Aires Province, Argentina
Context triple: [Daniel Passarella, placeOfBirth, Chacabuco, Buenos Aires Province, Argentina]
  • A. Chascomús, Buenos Aires Province, Argentina
    Chascomús is a historic lakeside city in Buenos Aires Province, Argentina, known as the hometown of former president Raúl Alfonsín and a popular weekend and tourist destination.
  • B. San Martín, Buenos Aires, Argentina
    San Martín is a city in the Greater Buenos Aires metropolitan area of Argentina, known as an important industrial and residential hub in the Buenos Aires Province.
  • C. Bernal, Argentina
    Bernal, Argentina is a city in the Buenos Aires Province known as a suburban part of Greater Buenos Aires.
  • D. General Roca, Río Negro
    General Roca, Río Negro is a city in Argentina’s Patagonia region, located in the province of Río Negro and known as an important agricultural and fruit-growing center in the Alto Valle del Río Negro.
  • E. 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.
  • 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: Chacabuco, Buenos Aires Province, Argentina
Target entity description: Chacabuco is a city in Buenos Aires Province, Argentina, known as an agricultural center in the Pampas region and as the birthplace of notable figures including football legend Daniel Passarella.
  • A. Chascomús, Buenos Aires Province, Argentina
    Chascomús is a historic lakeside city in Buenos Aires Province, Argentina, known as the hometown of former president Raúl Alfonsín and a popular weekend and tourist destination.
  • B. San Martín, Buenos Aires, Argentina
    San Martín is a city in the Greater Buenos Aires metropolitan area of Argentina, known as an important industrial and residential hub in the Buenos Aires Province.
  • C. Bernal, Argentina
    Bernal, Argentina is a city in the Buenos Aires Province known as a suburban part of Greater Buenos Aires.
  • D. General Roca, Río Negro
    General Roca, Río Negro is a city in Argentina’s Patagonia region, located in the province of Río Negro and known as an important agricultural and fruit-growing center in the Alto Valle del Río Negro.
  • E. 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.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a7250d48190aa63f89db017ef70 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.