Triple
T25425390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSE |
E637103
|
entity |
| Predicate | includesInstructionCategory |
P53933
|
FINISHED |
| Object | arithmetic SIMD instructions |
—
|
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: arithmetic SIMD instructions | Statement: [SSE, includesInstructionCategory, arithmetic SIMD instructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesInstructionCategory Context triple: [SSE, includesInstructionCategory, arithmetic SIMD instructions]
-
A.
includesInstruction
Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
-
B.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
-
C.
classificationIncludes
chosen
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
-
D.
includesDisciplineCategory
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
-
E.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 21, 2026, 1:57 p.m.