Triple
T21990367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE 1931 XYZ |
E543065
|
entity |
| Predicate | hasTristimulusValue |
P146195
|
FINISHED |
| Object | X tristimulus value |
—
|
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: X tristimulus value | Statement: [CIE 1931 XYZ, hasTristimulusValue, X tristimulus value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTristimulusValue Context triple: [CIE 1931 XYZ, hasTristimulusValue, X tristimulus value]
-
A.
hasTristimulusValuesSpace
Indicates that an entity is associated with or defined within a specific tristimulus color values space (such as an XYZ or RGB color space).
-
B.
hasRelativeTristimulusX
Indicates that one entity has a specified relative tristimulus X value in relation to another entity or color measurement.
-
C.
hasRelativeTristimulusZ
Indicates that one entity has a specified relative tristimulus Z value in relation to another entity or color measurement context.
-
D.
hasColorModel
Indicates that an entity uses or is associated with a particular color representation model (such as RGB, CMYK, or HSV) for defining its colors.
-
E.
hasRelatedIlluminant
Indicates that one entity is associated with another entity that serves as a corresponding or contextually relevant illuminant (light source) for it.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:05 p.m.