Triple

T563336
Position Surface form Disambiguated ID Type / Status
Subject York University E13500 entity
Predicate affiliation P10 FINISHED
Object CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
 E70395 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: CUP | Statement: [York University, affiliation, CUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUP
Context triple: [York University, affiliation, CUP]
  • A. The Cup
    The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
  • B. CPC
    CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
  • C. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • E. The Ultimate Driving Machine
    The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
  • 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: CUP
Triple: [York University, affiliation, CUP]
Generated description
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUP
Target entity description: CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
  • A. The Cup
    The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
  • B. CPC
    CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
  • C. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • E. The Ultimate Driving Machine
    The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a712bc48190ba298b3c76ab11cc completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed37a98081909afbc0de4079dda8 completed March 2, 2026, 1:51 a.m.
NEDg Description generation batch_69a4ed9314308190ab02cefa0479345d completed March 2, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69a4ee076c6481909f18ee53ef936c0f completed March 2, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:32 p.m.