Triple
T27192558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step II |
E683512
|
entity |
| Predicate | applicationContext |
P14668
|
FINISHED |
| Object | workplace settings |
—
|
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: workplace settings | Statement: [Step II, applicationContext, workplace settings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicationContext Context triple: [Step II, applicationContext, workplace settings]
-
A.
applicationComponent
Indicates that one entity functions as a component, module, or part within a larger application or software system represented by another entity.
-
B.
componentApplication
Indicates that one entity is an application or use-case instance that is built from, configured by, or otherwise realized through another entity serving as its component.
-
C.
applicationLocation
chosen
Indicates the place or environment where an application is deployed, used, or made available.
-
D.
applicationInterface
Indicates that one entity serves as an interface or interaction layer through which another entity accesses or uses an application’s functionality.
-
E.
engineApplication
Indicates that an engine is applied, installed, or utilized within a particular system, context, or application.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 9:33 a.m.