Triple

T19408993
Position Surface form Disambiguated ID Type / Status
Subject Colorado Mesa University E485538 entity
Predicate hasMascot P52 FINISHED
Object Mavericks 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: Mavericks | Statement: [Colorado Mesa University, hasMascot, Mavericks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mavericks
Context triple: [Colorado Mesa University, hasMascot, Mavericks]
  • A. Mavericks
    Mavericks is the team name and mascot representing Mauldin High School’s athletic and extracurricular programs.
  • B. Mavericks
    Mavericks is a world-famous big-wave surfing break off the coast of Half Moon Bay, California, known for producing some of the largest and most challenging waves ridden by surfers.
  • C. Mavericks chosen
    The Mavericks are the athletic teams representing Colorado Mesa University in intercollegiate sports.
  • D. Mavericks
    Mavericks is the nickname for the University of Texas at Arlington’s athletic teams, representing the school in collegiate sports competitions.
  • E. Mavericks
    The Mavericks are the athletic teams representing Minnesota State University, Mankato in collegiate sports.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.