Triple
T35850666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Night mode |
E1036343
|
entity |
| Predicate | userAdjustableParameter |
P123498
|
FINISHED |
| Object | maximum exposure duration within suggested range |
—
|
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: maximum exposure duration within suggested range | Statement: [Apple Night mode, userAdjustableParameter, maximum exposure duration within suggested range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userAdjustableParameter Context triple: [Apple Night mode, userAdjustableParameter, maximum exposure duration within suggested range]
-
A.
controlParameter
chosen
Indicates that one entity functions as a parameter that governs, tunes, or constrains the behavior or operation of another entity.
-
B.
settingChange
Indicates a change made to a configuration, environment, or parameter value from one state to another.
-
C.
adjustmentType
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
D.
customizableBy
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
E.
featuresSetting
Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.