Triple

T1440829
Position Surface form Disambiguated ID Type / Status
Subject University of New Mexico Athletics Department E31065 entity
Predicate hasMascot P52 FINISHED
Object Lobo E31063 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: Lobo | Statement: [University of New Mexico Athletics Department, hasMascot, Lobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobo
Context triple: [University of New Mexico Athletics Department, hasMascot, Lobo]
  • A. Lobos chosen
    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.
  • B. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • C. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • D. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • E. Buck
    Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5307e988190b392f1f1d1ac10f0 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9b7cac81909700821cb7f39a33 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8 p.m.