Triple

T18308789
Position Surface form Disambiguated ID Type / Status
Subject Tres de Febrero E438559 entity
Predicate borders P224 FINISHED
Object General San Martín 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: General San Martín | Statement: [Tres de Febrero, borders, General San Martín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General San Martín
Context triple: [Tres de Febrero, borders, General San Martín]
  • A. José de San Martín
    José de San Martín was an Argentine general and key liberator of southern South America, leading the independence of Argentina, Chile, and Peru from Spanish rule.
  • B. Libertador General San Martín
    Libertador General San Martín is a city in Jujuy Province in northwest Argentina, known as an industrial and commercial hub and a gateway to the nearby Calilegua National Park.
  • C. San Martín
    San Martín is a city in western Argentina that serves as an important agricultural and commercial center within Mendoza Province, particularly known for its role in the regional wine industry.
  • D. San Martín chosen
    San Martín is an important industrial and residential city in the Greater Buenos Aires metropolitan area of Argentina.
  • E. San Martín
    San Martín is a municipality in El Salvador known for its proximity to the capital and its role as a growing urban and commercial center in the San Salvador metropolitan area.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021709f88190a8047dd57edc2029 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.