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.