Triple
T26212598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen 3 |
E655526
|
entity |
| Predicate | frontEnd |
P163872
|
FINISHED |
| Object | wider instruction fetch and decode |
—
|
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: wider instruction fetch and decode | Statement: [Zen 3, frontEnd, wider instruction fetch and decode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontEnd Context triple: [Zen 3, frontEnd, wider instruction fetch and decode]
-
A.
frontEndFor
Indicates that one entity serves as the user-facing interface or access point through which another underlying system, service, or component is used or interacted with.
-
B.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
C.
frontDesign
Indicates that one entity serves as the primary or visible front-facing design or appearance of another entity.
-
D.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
E.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
- F. None of above. chosen
Provenance (4 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 26, 2026, 8:53 p.m.