Triple
T23929910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Scouting Methods |
E602465
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | sports analysis manual |
C48222
|
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 analysis manual Context triple: [Football Scouting Methods, instanceOf, sports analysis manual]
-
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 analytics conference
A sports analytics conference is a professional gathering where experts, practitioners, and enthusiasts share research, tools, and strategies for using data and statistical methods to improve performance, decision-making, and fan engagement in sports.
-
C.
basketball analyst
A basketball analyst is a professional who studies games, players, and statistics to provide insights, evaluations, and predictions about basketball performance and strategy.
-
D.
sports statistics topic
A sports statistics topic is a focused subject area that explores quantitative data, metrics, and analytical methods used to evaluate performance, strategy, and outcomes in athletic competitions.
-
E.
sports statistics body
A sports statistics body is an organization responsible for collecting, validating, analyzing, and publishing official quantitative data and records related to sports competitions, teams, and athletes.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
Created at: April 17, 2026, 8:56 p.m.