Triple
T6172534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM F-body |
E137736
|
entity |
| Predicate | successorModelForCamaro |
P16897
|
FINISHED |
| Object | fifth-generation Chevrolet Camaro |
—
|
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: fifth-generation Chevrolet Camaro | Statement: [GM F-body, successorModelForCamaro, fifth-generation Chevrolet Camaro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorModelForCamaro Context triple: [GM F-body, successorModelForCamaro, fifth-generation Chevrolet Camaro]
-
A.
successorModel
chosen
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
B.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
C.
successorEngine
Indicates that one engine directly follows and replaces another in a sequence or version lineage.
-
D.
successorTractionType
Indicates that one traction type directly follows or replaces another in a sequence or evolution of traction systems.
-
E.
successorAsLaunchVehicle
Indicates that one launch vehicle directly replaces or follows another as its operational successor in service or role.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.