Triple
T32541836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Focus Assist |
E831732
|
entity |
| Predicate | automaticRuleType |
P133790
|
FINISHED |
| Object | during specific times |
—
|
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: during specific times | Statement: [Focus Assist, automaticRuleType, during specific times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: automaticRuleType Context triple: [Focus Assist, automaticRuleType, during specific times]
-
A.
automationType
Indicates the specific kind or category of automation applied or associated with an entity or process.
-
B.
automaticQualifiers
Indicates that certain attributes or conditions are assigned or inferred automatically as qualifiers for the relationship or action, without requiring explicit specification.
-
C.
assumedRuleOf
Indicates that one entity is presumed or taken to hold authoritative control, governance, or dominion over another entity, typically without definitive confirmation.
-
D.
automaticQualifier
Indicates that a property or classification is assigned automatically by a system or rule, rather than being manually specified.
-
E.
natureOfRule
chosen
Indicates the fundamental type or character of a rule, specifying what kind of rule it is or how it functions within a system.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c57f14348190a0e2b98597e5ba25 |
completed | May 3, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.