Triple

T22580144
Position Surface form Disambiguated ID Type / Status
Subject Desafío Corona E544543 entity
Predicate sponsorBrand P44149 FINISHED
Object Corona 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: Corona | Statement: [Desafío Corona, sponsorBrand, Corona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corona
Context triple: [Desafío Corona, sponsorBrand, Corona]
  • A. Corona chosen
    Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
  • B. Corona
    Corona is a diverse neighborhood in the borough of Queens, New York City, known for its vibrant Latino community and proximity to Flushing Meadows–Corona Park.
  • C. Corona
    Corona is an Italian Eurodance music group best known for their 1993 international hit single "The Rhythm of the Night."
  • D. Corona
    Corona is a small rural village located in Torrance County in the central region of New Mexico, United States.
  • E. Corona
    Corona is a city in Riverside County, California, known for its suburban communities, proximity to major Southern California freeways, and role as a regional commercial and residential hub.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fefa1308190876b617d47ba08f3 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.