Triple
T35615540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | remuneration committee of Stellantis |
E1029153
|
entity |
| Predicate | typeOfRemunerationCovered |
—
|
GENERATED |
| Object | fixed salary |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRemunerationCovered Context triple: [remuneration committee of Stellantis, typeOfRemunerationCovered, fixed salary]
-
A.
compensationCategory
chosen
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
-
B.
salaryType
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
C.
typeOfMinimumWage
Indicates the specific category or kind of minimum wage that applies in a given context (e.g., by sector, worker type, or legal framework).
-
D.
earnerType
Indicates the category or role that characterizes how an entity earns income or compensation.
-
E.
compensationIncludes
Indicates that a specified form of payment or benefit is part of the overall compensation provided in a given context.
- F. None of above.
Provenance (1 batch)
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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.