Triple
T25741587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raptor Lake Refresh |
E648230
|
entity |
| Predicate | coreArchitecture |
P4621
|
FINISHED |
| Object | Efficient-cores (E-cores) |
—
|
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: Efficient-cores (E-cores) | Statement: [Raptor Lake Refresh, coreArchitecture, Efficient-cores (E-cores)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreArchitecture Context triple: [Raptor Lake Refresh, coreArchitecture, Efficient-cores (E-cores)]
-
A.
exampleArchitecture
Indicates that one entity serves as a representative or illustrative instance of the architectural style, structure, or design of another entity.
-
B.
primaryArchitecture
Indicates that one entity serves as the main or predominant architectural style, structure, or design associated with another entity.
-
C.
integrationWithArchitecture
Indicates that one entity is designed to fit into, align with, or operate cohesively within the overall structure, patterns, or components of another entity’s architecture.
-
D.
architecture
chosen
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
-
E.
coreConstruct
Indicates a fundamental building or organizing relationship where one entity serves as the essential basis or primary component from which another entity is formed or structured.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1b3010819098da2e7d46dfc326 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 3:45 a.m.