Triple
T27354078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government No. 1 (Black Watch) tartan |
E685636
|
entity |
| Predicate | hasColourPalette |
P29272
|
FINISHED |
| Object | dark, muted tones |
—
|
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: dark, muted tones | Statement: [Government No. 1 (Black Watch) tartan, hasColourPalette, dark, muted tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColourPalette Context triple: [Government No. 1 (Black Watch) tartan, hasColourPalette, dark, muted tones]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
C.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
D.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
E.
containsColor
Indicates that one entity includes or exhibits the color specified by 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: April 27, 2026, 11:50 a.m.