Triple
T1693234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Vista |
E36595
|
entity |
| Predicate | architectureChange |
P13888
|
FINISHED |
| Object | significant changes compared to Windows XP |
—
|
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: significant changes compared to Windows XP | Statement: [Windows Vista, architectureChange, significant changes compared to Windows XP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureChange Context triple: [Windows Vista, architectureChange, significant changes compared to Windows XP]
-
A.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
B.
compositionChanged
Indicates that the makeup or constituent elements of something have been altered from a previous state.
-
C.
notableChange
chosen
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
D.
typeOfAmendment
Indicates the specific kind or category of amendment that is being applied to something, such as a document, law, or agreement.
-
E.
architecture
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.