Triple
T32720371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows 10 October 2020 Update |
E836653
|
entity |
| Predicate | uiChange |
P31366
|
FINISHED |
| Object | more streamlined Start menu layout |
—
|
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: more streamlined Start menu layout | Statement: [Windows 10 October 2020 Update, uiChange, more streamlined Start menu layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uiChange Context triple: [Windows 10 October 2020 Update, uiChange, more streamlined Start menu layout]
-
A.
notableGUIChange
chosen
Indicates a significant modification or redesign in a system’s graphical user interface compared to its previous state.
-
B.
settingChange
Indicates a change made to a configuration, environment, or parameter value from one state to another.
-
C.
limitsOnChange
Indicates that there are constraints or restrictions placed on how much or in what ways something may be altered or modified.
-
D.
canChangeIn
Indicates that one entity is capable of undergoing alteration, transformation, or variation within the context or influence of another entity or condition.
-
E.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b304ec8190b63babe3982c0b68 |
completed | May 3, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.