Triple
T32414029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebJobs |
E828295
|
entity |
| Predicate | continuousJobBehavior |
P147910
|
FINISHED |
| Object | runs continuously as long as web app is running |
—
|
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: runs continuously as long as web app is running | Statement: [WebJobs, continuousJobBehavior, runs continuously as long as web app is running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuousJobBehavior Context triple: [WebJobs, continuousJobBehavior, runs continuously as long as web app is running]
-
A.
continuationWork
Indicates that one work continues, extends, or carries forward the content, narrative, or effort of another work.
-
B.
continuesWorkBy
Indicates that one entity carries on, extends, or further develops the work previously initiated or performed by another entity.
-
C.
isContinuously
Indicates that an action, state, or relationship persists without interruption over a period of time.
-
D.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
E.
continuousPlay
chosen
Indicates that an activity or process proceeds without interruption or breaks over a period of time.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 12:53 a.m.