Triple

T8659484
Position Surface form Disambiguated ID Type / Status
Subject Avenida Santa Fe E205509 entity
Predicate hasPart P35 FINISHED
Object Retiro E215765 NE FINISHED

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: [Avenida Santa Fe, hasPart, Retiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro
Context triple: [Avenida Santa Fe, hasPart, 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 small town in Argentina’s Neuquén Province, known as a service and transit hub for travelers crossing the Andes via the nearby Paso Pino Hachado mountain pass.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486ece68819089c74bdf98b64490 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef37efbf08190805fbb270a4bce37 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:30 p.m.