Triple

T18489433
Position Surface form Disambiguated ID Type / Status
Subject Monument to General San Martín (Buenos Aires) E451780 entity
Predicate locatedIn P40 FINISHED
Object Retiro 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: Retiro | Statement: [Monument to General San Martín (Buenos Aires), locatedIn, Retiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro
Context triple: [Monument to General San Martín (Buenos Aires), locatedIn, Retiro]
  • A. Retiro
    Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
  • B. Retiro chosen
    Retiro is a central Buenos Aires neighborhood known for its major train and bus terminals, historic plazas, and mix of commercial and residential areas.
  • C. Retiro
    Retiro is a municipality in Chile’s Linares Province, known for its agricultural activities and rural character in the Maule Region.
  • D. Posto Santo
    Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • E. Las Lajas
    Las Lajas is a town located within Honduras’s Comayagua Department, known as one of the region’s smaller rural settlements.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d9d75081908e81fbccf6896bbc completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.