Triple
T19847582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesmen |
E476907
|
entity |
| Predicate | usesName |
P2937
|
FINISHED |
| Object | Wesmen |
—
|
NE NERFINISHED |
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: Wesmen | Statement: [Wesmen, usesName, Wesmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wesmen Context triple: [Wesmen, usesName, Wesmen]
-
A.
Wesmen
chosen
Wesmen is the collective name for the University of Winnipeg’s varsity athletic teams.
-
B.
Gee-Gees
The Gee-Gees are the University of Ottawa’s varsity athletic teams, competing in a range of sports at the Canadian university level.
-
C.
Victoria Vikes
Victoria Vikes is the collective name for the University of Victoria’s varsity athletic teams competing in Canadian university sports.
-
D.
Saskatchewan Huskies
The Saskatchewan Huskies are the University of Saskatchewan’s varsity athletic program, competing in U Sports across multiple sports and known especially for their strong football and hockey teams.
-
E.
Calgary Dinos
The Calgary Dinos are the University of Calgary’s varsity athletic teams, competing in multiple sports within Canadian university athletics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580ba4948190a3260f23d011cc36 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.