Triple
T7895048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Script Host |
E183323
|
entity |
| Predicate | scriptFileExtension |
P79626
|
FINISHED |
| Object | .vbs |
—
|
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: .vbs | Statement: [Windows Script Host, scriptFileExtension, .vbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptFileExtension Context triple: [Windows Script Host, scriptFileExtension, .vbs]
-
A.
scriptType
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
B.
scriptName
Indicates the name or title of a script associated with an entity, typically identifying which script is used, referenced, or executed in a given context.
-
C.
scriptEditor
Indicates that an entity serves as the editor or editing environment used to create or modify a script.
-
D.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
-
E.
scriptSystem
Indicates that one entity is the scripting or programming system used to control, configure, or automate the behavior of another entity.
- F. None of above. chosen
Provenance (4 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 5:01 p.m.