Triple
T1096563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sRGB |
E24283
|
entity |
| Predicate | viewingEnvironmentLuminance |
P12262
|
FINISHED |
| Object | approximately 64 lux |
—
|
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: approximately 64 lux | Statement: [sRGB, viewingEnvironmentLuminance, approximately 64 lux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingEnvironmentLuminance Context triple: [sRGB, viewingEnvironmentLuminance, approximately 64 lux]
-
A.
lightLevel
chosen
Indicates the intensity or amount of light present in a given context or environment.
-
B.
designLuminosity
Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
-
C.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
D.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
E.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.