Triple

T6452387
Position Surface form Disambiguated ID Type / Status
Subject Windsor Express E139900 entity
Predicate hasNickname P39 FINISHED
Object Express
Express is the nickname of the Windsor Express, a professional basketball team based in Windsor, Ontario, Canada.
E593721 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: Express | Statement: [Windsor Express, hasNickname, Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Express
Context triple: [Windsor Express, hasNickname, Express]
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Express
    Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • C. Express
    Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
  • D. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • E. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • 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: Express
Triple: [Windsor Express, hasNickname, Express]
Generated description
Express is the nickname of the Windsor Express, a professional basketball team based in Windsor, Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Express
Target entity description: Express is the nickname of the Windsor Express, a professional basketball team based in Windsor, Ontario, Canada.
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Express
    Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • C. Express
    Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
  • D. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • E. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b62cbc81908b7f1a0dc1ed3e1d completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd671d08190a24e8d666040bcc2 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64cc3f87081908e780fa21394b48e completed March 27, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c64d1f19448190b96759b5991d07d4 completed March 27, 2026, 9:25 a.m.
Created at: March 22, 2026, 4:47 p.m.