Triple
T13476933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Drivers' Championship |
E318273
|
entity |
| Predicate | pointsAwardedFor |
P24875
|
FINISHED |
| Object | race finishing positions |
—
|
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: race finishing positions | Statement: [World Drivers' Championship, pointsAwardedFor, race finishing positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsAwardedFor Context triple: [World Drivers' Championship, pointsAwardedFor, race finishing positions]
-
A.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
B.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
C.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
-
D.
pointsForWin
chosen
Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
-
E.
awardCurrency
Indicates that one entity grants or gives a specified amount of currency to another entity.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.