Triple
T15605844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 FIBA Africa Championship |
E375157
|
entity |
| Predicate | topAssistsPerGame |
P57621
|
FINISHED |
| Object | 5.0 |
—
|
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: 5.0 | Statement: [2011 FIBA Africa Championship, topAssistsPerGame, 5.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topAssistsPerGame Context triple: [2011 FIBA Africa Championship, topAssistsPerGame, 5.0]
-
A.
topAssistsLeader
Indicates that the subject is the leading provider of assists, typically having the highest number of assists in a given group, league, or time period.
-
B.
topAssistsAssistsPerGame
chosen
Indicates that the subject ranks among the top performers in terms of average assists made per game.
-
C.
mostAssistsNumber
Indicates that an entity holds the highest number of assists recorded within a given context or comparison set.
-
D.
assistsLeaderTeam
Indicates that an entity provides help or support to the leader’s team in carrying out its activities or responsibilities.
-
E.
assistsOver
Indicates that one entity provides help or support to another entity in a way that surpasses or exceeds a certain reference level, standard, or counterpart.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.