Triple
T1132338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notts County F.C. |
E23058
|
entity |
| Predicate | shirtPatternInspiration |
P5928
|
FINISHED |
| Object | inspired Juventus F.C. black-and-white stripes |
—
|
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: inspired Juventus F.C. black-and-white stripes | Statement: [Notts County F.C., shirtPatternInspiration, inspired Juventus F.C. black-and-white stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shirtPatternInspiration Context triple: [Notts County F.C., shirtPatternInspiration, inspired Juventus F.C. black-and-white stripes]
-
A.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
B.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
C.
designTrend
Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
-
D.
kitPattern
chosen
Indicates the design or visual pattern featured on a team's kit or uniform.
-
E.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.