Triple
T22027029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE standard illuminant D50 |
E543993
|
entity |
| Predicate | usedAsViewingCondition |
P42052
|
FINISHED |
| Object | softproof to hardcopy comparison |
—
|
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: softproof to hardcopy comparison | Statement: [CIE standard illuminant D50, usedAsViewingCondition, softproof to hardcopy comparison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsViewingCondition Context triple: [CIE standard illuminant D50, usedAsViewingCondition, softproof to hardcopy comparison]
-
A.
hasViewingConditions
chosen
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
B.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
C.
usedCondition
Indicates that one entity is employed or applied under a particular state, requirement, or circumstance defined by another entity.
-
D.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
E.
viewedBySomeAs
Indicates that at least one observer or group perceives or interprets an entity in a particular way or role.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.