Triple

T4843217
Position Surface form Disambiguated ID Type / Status
Subject Cavalier E108224 entity
Predicate universityNickname P6622 FINISHED
Object Cavaliers E115070 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: Cavaliers | Statement: [Cavalier, universityNickname, Cavaliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavaliers
Context triple: [Cavalier, universityNickname, Cavaliers]
  • A. Cavaliers chosen
    The Cavaliers are the athletic teams representing the University of Virginia in NCAA Division I sports.
  • B. Cleveland Cavaliers
    The Cleveland Cavaliers are a professional NBA basketball team based in Cleveland, Ohio, known for their 2016 championship led by LeBron James.
  • C. Cincinnati Royals
    The Cincinnati Royals were a former National Basketball Association (NBA) franchise, later relocated and rebranded as the Sacramento Kings.
  • D. Blazers
    The Blazers are the University of Alabama at Birmingham's football team, competing in NCAA Division I and known for their green and gold colors and dragon mascot.
  • E. Blazers
    Blazers is the nickname of the University of Alabama at Birmingham’s women’s basketball team, representing the school in NCAA competition.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d70dd0819094b6b2906a9d03b5 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.