Triple

T6785143
Position Surface form Disambiguated ID Type / Status
Subject Denver Pioneers men's ice hockey E155781 entity
Predicate abbreviation P43 FINISHED
Object DU
DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
E617064 NE FINISHED

How this triple was built (4 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: DU | Statement: [Denver Pioneers men's ice hockey, abbreviation, DU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DU
Context triple: [Denver Pioneers men's ice hockey, abbreviation, DU]
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DU
Triple: [Denver Pioneers men's ice hockey, abbreviation, DU]
Generated description
DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DU
Target entity description: DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • F. None of above. chosen

Provenance (5 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28de0348190998751fd546bfd02 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d6fb4c8190a7e7b88edc9c848c completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c7135f643481908b325739af0c6611 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c713f829e08190973571df498acbb5 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:14 p.m.