Triple

T18455654
Position Surface form Disambiguated ID Type / Status
Subject Isabel Perón E450896 entity
Predicate placeOfBirth P1 FINISHED
Object La Rioja, Argentina 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: La Rioja, Argentina | Statement: [Isabel Perón, placeOfBirth, La Rioja, Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Rioja, Argentina
Context triple: [Isabel Perón, placeOfBirth, La Rioja, Argentina]
  • A. La Rioja (Argentina) chosen
    La Rioja is a northwestern Argentine province known for its arid landscapes, Andean foothills, and significant wine production, particularly of aromatic white varieties.
  • B. Mendoza
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • C. Mendoza
    Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
  • D. Mendoza Province
    Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
  • E. San Vicente, Argentina
    San Vicente, Argentina is a town in Buenos Aires Province known as the longtime home and final residence of several notable figures, including Emilie Schindler.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.