Triple
T23123548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Pagenaud |
E576962
|
entity |
| Predicate | drivingDiscipline |
P151010
|
FINISHED |
| Object | open-wheel racing |
—
|
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: open-wheel racing | Statement: [Simon Pagenaud, drivingDiscipline, open-wheel racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingDiscipline Context triple: [Simon Pagenaud, drivingDiscipline, open-wheel racing]
-
A.
drivingPrinciple
Indicates that one entity functions as the core motivating idea, value, or rule that fundamentally guides or directs another entity’s behavior, decisions, or development.
-
B.
drivingChallenge
Indicates a situation in which driving is made difficult or demanding due to conditions, obstacles, or required skills.
-
C.
drivingExperience
Indicates the extent or history of a person's involvement in driving vehicles, typically measured by duration, frequency, or level of skill.
-
D.
driverAcademy
Indicates a relationship where an academy provides training or education to individuals to become drivers or improve their driving skills.
-
E.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.