Triple

T17074626
Position Surface form Disambiguated ID Type / Status
Subject United Hockey League E414316 entity
Predicate abbreviation P43 FINISHED
Object UHL
UHL is the commonly used acronym for the United Hockey League, a former minor professional ice hockey league in North America.
 E1249952 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: UHL | Statement: [United Hockey League, abbreviation, UHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHL
Context triple: [United Hockey League, abbreviation, UHL]
  • A. ULM
    ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
  • B. Uhlsport
    Uhlsport is a German sports equipment manufacturer best known for producing football gear, particularly goalkeeper gloves and teamwear.
  • C. UH
    UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
  • D. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • E. USLHS
    USLHS is the abbreviation for the United States Lighthouse Service, the former U.S. government agency responsible for the construction, maintenance, and operation of lighthouses and other navigational aids.
  • 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: UHL
Triple: [United Hockey League, abbreviation, UHL]
Generated description
UHL is the commonly used acronym for the United Hockey League, a former minor professional ice hockey league in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHL
Target entity description: UHL is the commonly used acronym for the United Hockey League, a former minor professional ice hockey league in North America.
  • A. ULM
    ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
  • B. Uhlsport
    Uhlsport is a German sports equipment manufacturer best known for producing football gear, particularly goalkeeper gloves and teamwear.
  • C. UH
    UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
  • D. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • E. USLHS
    USLHS is the abbreviation for the United States Lighthouse Service, the former U.S. government agency responsible for the construction, maintenance, and operation of lighthouses and other navigational aids.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc3b69c819093b32da3998eed46 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c5f7388190b10a62ed1b61cce0 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:34 a.m.