Triple
T35886884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Déesse |
E1037671
|
entity |
| Predicate | associatedWithSuccessorModel |
—
|
GENERATED |
| Object | Citroën CX |
—
|
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: associatedWithSuccessorModel Context triple: [La Déesse, associatedWithSuccessorModel, Citroën CX]
-
A.
associatedWithSuccessorState
Indicates a relationship where something is linked or connected to the state that immediately follows it in a sequence or progression.
-
B.
successorModel
chosen
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
C.
associatedWithPredecessorState
Indicates a relationship where something is linked or connected to a prior or earlier state in a sequence or process.
-
D.
associatedWithModel
Indicates that one entity has a defined connection, linkage, or relationship with a particular model.
-
E.
successorConnector
Indicates a relationship where one element is directly connected to and follows another in a sequence or ordered structure.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.