Triple
T9957455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action Center |
E195479
|
entity |
| Predicate | includesQuickAction |
P91645
|
FINISHED |
| Object | Wi-Fi toggle |
—
|
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: Wi-Fi toggle | Statement: [Action Center, includesQuickAction, Wi-Fi toggle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesQuickAction Context triple: [Action Center, includesQuickAction, Wi-Fi toggle]
-
A.
includesActionSequence
Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
-
B.
hasCallToAction
Indicates that one entity includes or presents a prompt urging another entity to take a specific action.
-
C.
refersToAction
Indicates that one entity explicitly points to, mentions, or designates a specific action or event.
-
D.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
E.
coversActionType
Indicates that one entity’s scope, responsibility, or applicability includes or encompasses a particular type of action.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cceb608190ad4424afaddcabfa |
completed | April 2, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:46 p.m.