Triple
T10219617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Sloan Sports Analytics Conference |
E242539
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | sports analytics conference |
C27603
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: sports analytics conference Context triple: [MIT Sloan Sports Analytics Conference, instanceOf, sports analytics conference]
-
A.
sports analysis program
A sports analysis program is a software system that collects, processes, and interprets sports-related data to evaluate performance, identify patterns, and support strategic decision-making for teams, coaches, and analysts.
-
B.
sports conference collective term
A sports conference collective term refers to the shared name or label used to group multiple athletic teams or schools that regularly compete against each other within an organized league or association.
-
C.
sports application
A sports application is a software platform that provides users with tools and information to follow, analyze, and engage with sports events, teams, and athletes.
-
D.
sports expert panel
A sports expert panel is a group of knowledgeable analysts or former athletes who collaboratively discuss, evaluate, and provide informed opinions on sports events, strategies, and performances.
-
E.
sports statistics website
A sports statistics website is an online platform that collects, analyzes, and presents detailed data, metrics, and historical records about teams, players, and games across various sports.
- F. None of above. chosen
Provenance (1 batch)
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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:08 a.m.