Triple
T8287913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAC |
E193826
|
entity |
| Predicate | promptsWhen |
P12708
|
FINISHED |
| Object | an application requests administrative privileges |
—
|
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: an application requests administrative privileges | Statement: [UAC, promptsWhen, an application requests administrative privileges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promptsWhen Context triple: [UAC, promptsWhen, an application requests administrative privileges]
-
A.
occursWhen
chosen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
B.
performedWhen
Indicates the specific time or temporal condition under which an action or event was carried out.
-
C.
observedWhen
Indicates that one entity is observed or recorded at a specific time or under particular temporal conditions.
-
D.
laterPromoter
Indicates that one promoter occurs or becomes active at a later time than another promoter in a regulatory or temporal sequence.
-
E.
intervenesWhen
Indicates that one entity takes action to interrupt, mediate, or alter the course of another entity’s ongoing situation or process when certain conditions arise.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad4b2008190ad1624e1335147c6 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.