Triple
T30369959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PQ |
E772520
|
entity |
| Predicate | luminanceEncodingType |
P85778
|
FINISHED |
| Object | absolute |
—
|
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: absolute | Statement: [PQ, luminanceEncodingType, absolute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luminanceEncodingType Context triple: [PQ, luminanceEncodingType, absolute]
-
A.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
B.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
C.
usesEOTF
Indicates that one entity applies or relies on a specific Electro-Optical Transfer Function (EOTF) to convert or interpret image signal values.
-
D.
chromaSubsamplingOptions
Indicates how color information is reduced or sampled relative to luminance in an image or video signal.
-
E.
luminanceRange
chosen
Indicates the span between the minimum and maximum luminance (brightness) values associated with an entity or visual element.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682836d308190b22a0efc893e7a45 |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:59 p.m.