Triple
T14377793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falu red |
E356518
|
entity |
| Predicate | hasShadeVariant |
P35454
|
FINISHED |
| Object | light Falu red |
—
|
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: light Falu red | Statement: [Falu red, hasShadeVariant, light Falu red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShadeVariant Context triple: [Falu red, hasShadeVariant, light Falu red]
-
A.
isShadeGrown
Indicates that something (typically a crop or plant) is cultivated under the partial cover of shade rather than in direct, full sunlight.
-
B.
shaded
Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
-
C.
isShadeOf
chosen
Indicates that one entity represents a specific tonal or color variation derived from or closely related to another entity.
-
D.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
E.
shadeProvision
Indicates that one entity provides or creates shade or shadow for another entity.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.