Triple
T15641691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athletics Department of Toronto Metropolitan University |
E376081
|
entity |
| Predicate | typeOfSportPrograms |
P2192
|
FINISHED |
| Object | varsity sports |
—
|
LITERAL 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: varsity sports | Statement: [Athletics Department of Toronto Metropolitan University, typeOfSportPrograms, varsity sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSportPrograms Context triple: [Athletics Department of Toronto Metropolitan University, typeOfSportPrograms, varsity sports]
-
A.
sportsProgram
Indicates a relationship where an entity is a sports-related program, event, or broadcast organized or provided by another entity.
-
B.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
C.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
D.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
-
E.
offersSportsProgramming
Indicates that one entity provides or makes available sports-related programming or content to another entity or audience.
- F. None of above.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.