Triple

T18455929
Position Surface form Disambiguated ID Type / Status
Subject Republican Proposal E450902 entity
Predicate hasPart P35 FINISHED
Object PRO Buenos Aires Province 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: PRO Buenos Aires Province | Statement: [Republican Proposal, hasPart, PRO Buenos Aires Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRO Buenos Aires Province
Context triple: [Republican Proposal, hasPart, PRO Buenos Aires Province]
  • A. Buenos Aires Province
    Buenos Aires Province is Argentina’s largest and most populous province, surrounding but not including the federal capital and encompassing major agricultural, industrial, and coastal regions.
  • B. Province of Mercedes-Luján
    The Province of Mercedes-Luján is an ecclesiastical province of the Catholic Church in Argentina that groups together dioceses under the jurisdiction of the Metropolitan Archbishop of Mercedes-Luján.
  • C. Entre Ríos Province
    Entre Ríos Province is an agricultural and riverine region in northeastern Argentina, situated between the Paraná and Uruguay rivers and known for its fertile plains and wetlands.
  • D. La Pampa Province
    La Pampa Province is a sparsely populated agricultural region in central Argentina, known for its vast plains, cattle ranching, and grain production.
  • E. Provincia de Santa Fe
    Provincia de Santa Fe is a populous and economically important province in east-central Argentina, known for its agriculture, industry, and major cities like Rosario and Santa Fe.
  • 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: PRO Buenos Aires Province
Target entity description: PRO Buenos Aires Province is the provincial branch in Buenos Aires of the Argentine center-right political party Republican Proposal (PRO).
  • A. Buenos Aires Province
    Buenos Aires Province is Argentina’s largest and most populous province, surrounding but not including the federal capital and encompassing major agricultural, industrial, and coastal regions.
  • B. Province of Mercedes-Luján
    The Province of Mercedes-Luján is an ecclesiastical province of the Catholic Church in Argentina that groups together dioceses under the jurisdiction of the Metropolitan Archbishop of Mercedes-Luján.
  • C. Entre Ríos Province
    Entre Ríos Province is an agricultural and riverine region in northeastern Argentina, situated between the Paraná and Uruguay rivers and known for its fertile plains and wetlands.
  • D. La Pampa Province
    La Pampa Province is a sparsely populated agricultural region in central Argentina, known for its vast plains, cattle ranching, and grain production.
  • E. Provincia de Santa Fe
    Provincia de Santa Fe is a populous and economically important province in east-central Argentina, known for its agriculture, industry, and major cities like Rosario and Santa Fe.
  • 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_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.