Triple

T17815904
Position Surface form Disambiguated ID Type / Status
Subject Club Cerro Porteño E444839 entity
Predicate shortName P43 FINISHED
Object Cerro Porteño 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: Cerro Porteño | Statement: [Club Cerro Porteño, shortName, Cerro Porteño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Porteño
Context triple: [Club Cerro Porteño, shortName, Cerro Porteño]
  • A. Cerro Porteño chosen
    Cerro Porteño is one of Paraguay’s most popular and successful football clubs, best known for its intense rivalry with Club Olimpia in the Asunción derby.
  • B. Horizontina
    Horizontina is a municipality in the state of Rio Grande do Sul in southern Brazil, known as the birthplace of supermodel Gisele Bündchen.
  • C. Barracas
    Barracas is a traditional working-class neighborhood in Buenos Aires, Argentina, known for its historic architecture, industrial past, and strong local identity.
  • D. Platense
    Platense is an Argentine professional football club best known for competing in the country’s top divisions and developing notable coaches and players.
  • E. Indeval
    Indeval is Mexico’s central securities depository, responsible for the custody, settlement, and administration of securities traded in the Mexican financial market.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.