Triple
T4543857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967–68 ABA season |
E109999
|
entity |
| Predicate | topAssistsAssistsPerGame |
P57621
|
FINISHED |
| Object | 6.2 |
—
|
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: 6.2 | Statement: [1967–68 ABA season, topAssistsAssistsPerGame, 6.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topAssistsAssistsPerGame Context triple: [1967–68 ABA season, topAssistsAssistsPerGame, 6.2]
-
A.
assistsLeaderTeam
Indicates that an entity provides help or support to the leader’s team in carrying out its activities or responsibilities.
-
B.
MVPAssists
Indicates that one entity, recognized as the most valuable player (MVP), provides assistance or support to another entity in achieving a goal or outcome.
-
C.
careerAssistsPerGame
Indicates the average number of assists a player records per game over the course of their entire career.
-
D.
scoringLeaderAssists
Indicates that the entity identified as the scoring leader in a game or season also recorded the most assists (or a specified number of assists) in that context.
-
E.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
- F. None of above. chosen
Provenance (4 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d517e881909c3d23ed4453b0a7 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.