Triple
T11653688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Automated Device Enrollment |
E276967
|
entity |
| Predicate | configuresDuring |
P98606
|
FINISHED |
| Object | device initial setup |
—
|
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: device initial setup | Statement: [Apple Automated Device Enrollment, configuresDuring, device initial setup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configuresDuring Context triple: [Apple Automated Device Enrollment, configuresDuring, device initial setup]
-
A.
laterConfiguration
Indicates that one configuration occurs after another in time, representing a subsequent or later state relative to a prior configuration.
-
B.
configurationVia
Indicates that one entity is set up, customized, or controlled through another entity serving as its configuration mechanism or source.
-
C.
constructedDuring
Indicates that one entity was built or created within the time period defined by another entity or event.
-
D.
configuration
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
E.
modifiedDuring
chosen
Indicates that one entity underwent a change or alteration while another specified time period, process, or event was occurring.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2d01f9c8190849f252f22519550 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.