Triple
T25932344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin |
E653466
|
entity |
| Predicate | successorToArchitecture |
P50932
|
FINISHED |
| Object | Zen 4-based EPYC processors |
—
|
NE NERFINISHED |
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: Zen 4-based EPYC processors | Statement: [Turin, successorToArchitecture, Zen 4-based EPYC processors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorToArchitecture Context triple: [Turin, successorToArchitecture, Zen 4-based EPYC processors]
-
A.
subsequentArchitect
Indicates that one architect comes after another in a temporal or sequential order, such as in a series of design or construction roles.
-
B.
successorSystem
chosen
Indicates that one system directly follows and replaces another in function, role, or version.
-
C.
successorEngine
Indicates that one engine directly follows and replaces another in a sequence or version lineage.
-
D.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
E.
successorSoftware
Indicates that one software product directly follows and replaces another as its newer version or update.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 22, 2026, 8:37 a.m.