Triple
T37481874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Cattle Dogs |
E931432
|
entity |
| Predicate | commonColorPattern |
P157743
|
FINISHED |
| Object | tricolor markings |
—
|
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: tricolor markings | Statement: [Swiss Cattle Dogs, commonColorPattern, tricolor markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonColorPattern Context triple: [Swiss Cattle Dogs, commonColorPattern, tricolor markings]
-
A.
colorOftenUsed
Indicates that a particular color is frequently used or commonly applied in relation to something.
-
B.
commonBackgroundColors
Indicates that two or more entities share the same or very similar background color.
-
C.
wearsColorFrequently
Indicates that an entity regularly and habitually wears items of a particular color.
-
D.
colorUse
chosen
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
E.
servicePatternColor
Indicates the color associated with a particular service pattern or service type within a system.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:17 p.m.