careerPointsPerGame

P10820
predicate

Indicates the average number of points an individual scores per game over the course of their entire career.

All labels observed (6)

Label Occurrences
careerPointsPerGame canonical 7
pointsPerGameCareerAverage 4
pointsPerGameCareer 2

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: careerPointsPerGame
Generated description
Indicates the average number of points an individual scores per game over the course of their entire career.

Sample triples (16)

Subject Object
Kevin McHale 17.9
Allan Houston 17.3 via predicate surface "pointsPerGameCareerAverage"
James Worthy 17.6
Larry Nance 17.1 via predicate surface "pointsPerGameCareerAverage"
Mitch Richmond 21.0
Gheorghe Mureșan 9.8 via predicate surface "pointsPerGameCareerAverage"
Joe Dumars 16.1
Adrian Dantley 24.3 via predicate surface "pointsPerGameCareerAverage"
Harold Miner approximately 9.0 via predicate surface "pointsPerGameCareerNBA"
Derrick Coleman 16.5 via predicate surface "pointsPerGameCareerAverageApprox"
Shareef Abdur-Rahim 18.1 via predicate surface "averagePointsPerGameInNBA"
Calvin Murphy 17.9
Jumpin’ Joe Fulks
surface form: Joe Fulks
23.2 via predicate surface "pointsPerGameCareer"
Terry Cummings approximately 16.4 via predicate surface "pointsPerGameCareer"
Wilt the Stilt
surface form: Wilt Chamberlain
30.07
Alex Groza 22.5