Triple
T8823952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows PC |
E209967
|
entity |
| Predicate | runsOnHardwareArchitecture |
P12178
|
FINISHED |
| Object | x86 |
—
|
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: x86 | Statement: [Windows PC, runsOnHardwareArchitecture, x86]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsOnHardwareArchitecture Context triple: [Windows PC, runsOnHardwareArchitecture, x86]
-
A.
runsOnHardware
chosen
Indicates that a system, software, or process operates using or is executed on a specified hardware platform.
-
B.
usesArchitecture
Indicates that one entity is built, implemented, or operates according to the architectural style, framework, or design specified by another entity.
-
C.
laterSupportedArchitecture
Indicates that one architecture provides support for another architecture that was introduced or adopted at a later time.
-
D.
supportedArchitect
Indicates that one entity provides architectural backing, endorsement, or assistance to another entity or architectural concept.
-
E.
cpuArchitecture
Indicates the type of processor instruction set or hardware architecture that a computing system or component is designed to run on.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6030b25081909d67488b35a72e05 |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.