Triple

T2010390
Position Surface form Disambiguated ID Type / Status
Subject Hejira E43675 entity
Predicate hasPart P35 FINISHED
Object Coyote E220848 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: Coyote | Statement: [Hejira, hasPart, Coyote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coyote
Context triple: [Hejira, hasPart, Coyote]
  • A. Coyotes
    The Coyotes are the intercollegiate athletic teams representing California State University, San Bernardino in NCAA competition.
  • B. Lobo
    Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
  • C. The Coyote
    The Coyote is the energetic, comedic costumed mascot of the NBA’s San Antonio Spurs, known for his slapstick antics and crowd-pleasing game-time performances.
  • D. Cody the Coyote chosen
    Cody the Coyote is the costumed coyote character who serves as the spirited athletic and campus mascot for California State University, San Bernardino.
  • E. Lobos
    Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8afe6f8819092679c86d1f2d041 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae5f0748190aecee47884c61ecc completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.