Triple
T8220497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Sidebar |
E192045
|
entity |
| Predicate | typicalGadgets |
P81695
|
FINISHED |
| Object | clock gadget |
—
|
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: clock gadget | Statement: [Windows Sidebar, typicalGadgets, clock gadget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGadgets Context triple: [Windows Sidebar, typicalGadgets, clock gadget]
-
A.
typicalTools
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
-
B.
technologyUsedIn
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
-
C.
technologyUsedBy
Indicates that a particular technology is employed or utilized by a specified entity.
-
D.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
-
E.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c782a8819086019ab6bac05749 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4d9b03108190a6785834f21ff75e |
completed | March 31, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:45 p.m.