Triple
T23013182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula 3 teams |
E572960
|
entity |
| Predicate | driverDevelopmentRole |
P150665
|
FINISHED |
| Object | racecraft training |
—
|
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: racecraft training | Statement: [Formula 3 teams, driverDevelopmentRole, racecraft training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driverDevelopmentRole Context triple: [Formula 3 teams, driverDevelopmentRole, racecraft training]
-
A.
developmentRole
Indicates that an entity participates in the creation, design, or production of another entity in a specific developmental capacity or function.
-
B.
drivers
Indicates that one entity operates or controls a vehicle or means of transport for another entity or in a given context.
-
C.
hasDevelopmentDriver
Indicates that one entity serves as a driving factor, cause, or motivator for the development, growth, or advancement of another entity.
-
D.
developedDriversFor
Indicates that one entity created or produced software drivers to enable another entity’s hardware or system to function or be controlled.
-
E.
developerOccupation
Indicates that an entity works in a developer role or profession, such as software or application development.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.