Triple
T36108844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constructors' Championship |
E1044435
|
entity |
| Predicate | pointScoringUnits |
P174682
|
FINISHED |
| Object | cars entered by each constructor |
—
|
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: cars entered by each constructor | Statement: [Constructors' Championship, pointScoringUnits, cars entered by each constructor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointScoringUnits Context triple: [Constructors' Championship, pointScoringUnits, cars entered by each constructor]
-
A.
scoringUnit
Indicates that one entity functions as a unit or component responsible for scoring or assigning scores to another entity.
-
B.
hasScoringUnit
chosen
Indicates that one entity possesses or is associated with a unit used for scoring, measurement, or point allocation in a given context.
-
C.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
D.
pointsEarnedFor
Indicates the number of points that are obtained or awarded to an entity as a result of a specific action, event, or condition.
-
E.
pointsScored
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.