Triple
T6452378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor Express |
E139900
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Windsor Express |
E139900
|
NE FINISHED |
How this triple was built (2 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: Windsor Express | Statement: [Windsor Express, shortName, Windsor Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windsor Express Context triple: [Windsor Express, shortName, Windsor Express]
-
A.
Windsor Express
chosen
Windsor Express is a professional basketball team based in Windsor, Ontario, competing in the National Basketball League of Canada.
-
B.
Nova Express
Nova Express is an experimental science fiction novel by William S. Burroughs that continues his cut-up style exploration of control, addiction, and societal manipulation.
-
C.
Kentish Express
Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
-
D.
Champion (train)
Champion (train) was a prominent Seaboard passenger train that provided streamlined intercity service along the U.S. East Coast, particularly between New York and Florida.
-
E.
Liberator Express
The Liberator Express was a transport aircraft variant of the Consolidated B-24 Liberator bomber used primarily during World War II for cargo and personnel transport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 22, 2026, 4:47 p.m.