Triple
T8288477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows SDK |
E193836
|
entity |
| Predicate | canBeInstalled |
P31902
|
FINISHED |
| Object | as a standalone package |
—
|
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: as a standalone package | Statement: [Windows SDK, canBeInstalled, as a standalone package]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeInstalled Context triple: [Windows SDK, canBeInstalled, as a standalone package]
-
A.
supportsInstallation
chosen
Indicates that one entity is capable of enabling, handling, or being compatible with the installation of another entity.
-
B.
requiresInstallation
Indicates that one entity must be installed or set up before the other can be used or become operational.
-
C.
canBeDeployedUnder
Indicates that one entity is permitted or suitable to be deployed or operated under the conditions, context, or authority defined by another entity.
-
D.
installedBy
Indicates that one entity was set up, put in place, or made operational through the actions or intervention of another entity.
-
E.
installedAt
Indicates that something has been set up, placed, or put into operation at a specific location or site.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c98e15c8190ac2a0b2a5ff834c9 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.