Triple
T22197307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE standard illuminant D75 |
E548580
|
entity |
| Predicate | intendedToModel |
P114497
|
FINISHED |
| Object | northern sky daylight |
—
|
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: northern sky daylight | Statement: [CIE standard illuminant D75, intendedToModel, northern sky daylight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedToModel Context triple: [CIE standard illuminant D75, intendedToModel, northern sky daylight]
-
A.
aimsToModel
chosen
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
-
B.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
C.
usedToModel
Indicates that one entity serves as a model or representation for another entity, typically for purposes of analysis, simulation, or understanding.
-
D.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
-
E.
intendsTo
Indicates that one entity has the purpose, plan, or desire to perform an action involving another entity or outcome.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae7c72081909b7817d66391bef4 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.