Triple
T28390651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flip 3D |
E719147
|
entity |
| Predicate | triggeredByKey |
P163285
|
FINISHED |
| Object | Windows key + Tab |
—
|
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: Windows key + Tab | Statement: [Flip 3D, triggeredByKey, Windows key + Tab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggeredByKey Context triple: [Flip 3D, triggeredByKey, Windows key + Tab]
-
A.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
B.
invokedByKey
chosen
Indicates that an action, event, or operation is triggered or initiated by a specific key input.
-
C.
triggeredFrom
Indicates that one event, action, or process was initiated or caused as a result of another specific event, action, or process.
-
D.
triggerEvent
Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
-
E.
triggeredFires
Indicates that one entity caused or initiated the occurrence of one or more fires in another entity or location.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 1:13 a.m.