Triple

T12688638
Position Surface form Disambiguated ID Type / Status
Subject South Dakota Coyotes E303143 entity
Predicate nickname P55 FINISHED
Object Yotes E998028 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: Yotes | Statement: [South Dakota Coyotes, nickname, Yotes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yotes
Context triple: [South Dakota Coyotes, nickname, Yotes]
  • A. Yotes chosen
    Yotes is the informal nickname for the University of South Dakota’s athletic teams, the South Dakota Coyotes.
  • B. Yantzaza
    Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
  • C. Yotayota
    Yotayota is an alternative name for the Yorta Yorta, an Aboriginal Australian people traditionally from the Murray–Goulburn region of northern Victoria and southern New South Wales.
  • D. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • E. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d8cb048190864a85dd75648820 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.