Triple

T21020892
Position Surface form Disambiguated ID Type / Status
Subject Estadio Presidente Juan Domingo Perón E517802 entity
Predicate alsoKnownAs P39 FINISHED
Object El Cilindro — 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: El Cilindro | Statement: [Estadio Presidente Juan Domingo Perón, alsoKnownAs, El Cilindro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Cilindro
Context triple: [Estadio Presidente Juan Domingo Perón, alsoKnownAs, El Cilindro]
  • A. El Cilindro de Avellaneda chosen
    El Cilindro de Avellaneda is the iconic football stadium in Avellaneda, Argentina, serving as the historic home ground of Racing Club.
  • B. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • C. La Máquina
    La Máquina is the popular nickname of Honduran football club Real España, known for its powerful and attacking style of play.
  • D. La Máquina
    La Máquina is the popular nickname of Mexican football club Cruz Azul, highlighting its reputation as a powerful, relentless team.
  • E. La Máquina
    La Máquina is a high-thrill amusement ride located in Madrid’s main city theme park, known for its intense swinging and spinning motion.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5db0b88190ae61ea8b38e8ecf7 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.