Triple

T8218797
Position Surface form Disambiguated ID Type / Status
Subject Michigan Technological University E192004 entity
Predicate athleticNickname P55 FINISHED
Object Huskies E719048 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: Huskies | Statement: [Michigan Technological University, athleticNickname, Huskies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huskies
Context triple: [Michigan Technological University, athleticNickname, Huskies]
  • A. Huskies
    Huskies is the nickname for the University of Saskatchewan’s varsity athletic teams.
  • B. Huskies
    Huskies is the nickname for the athletic teams representing Northeastern University in Boston, Massachusetts.
  • C. Huskies
    Huskies is the nickname for the University of Washington’s athletic teams, known especially for their prominent football program and strong presence in NCAA Division I sports.
  • D. Huskies chosen
    Huskies is the nickname and mascot for Michigan Technological University’s men’s ice hockey team, representing the school in NCAA competition.
  • E. Husky
    The Husky is a hardy, thick-coated working dog breed originally developed in Arctic regions for pulling sleds and enduring extreme cold.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7770cee881908ade560d49427895 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:45 p.m.