Triple
T23013179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula 3 teams |
E572960
|
entity |
| Predicate | technicalStaffRole |
P135631
|
FINISHED |
| Object | car setup optimization |
—
|
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: car setup optimization | Statement: [Formula 3 teams, technicalStaffRole, car setup optimization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technicalStaffRole Context triple: [Formula 3 teams, technicalStaffRole, car setup optimization]
-
A.
technicalRole
chosen
Indicates that an entity holds or performs a specific technical function, position, or responsibility in relation to another entity or context.
-
B.
technologyRole
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
C.
engineeringRole
Indicates that an entity holds or is associated with a role or position in the field of engineering.
-
D.
codeRole
Indicates a relationship where an entity serves a specific role or function within a piece of code or software system.
-
E.
technicalPanelRole
Indicates that an entity serves in a specific technical capacity or function within a panel or committee.
- 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_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. |
Created at: April 17, 2026, 3:51 p.m.