Triple
T15086269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torino F.C. |
E360280
|
entity |
| Predicate | traditionalShirtColor |
P65024
|
FINISHED |
| Object | maroon |
—
|
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: maroon | Statement: [Torino F.C., traditionalShirtColor, maroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalShirtColor Context triple: [Torino F.C., traditionalShirtColor, maroon]
-
A.
shirtColor
Indicates the color attribute associated with a shirt.
-
B.
traditionalDressColor
Indicates the color associated with an entity’s traditional or customary dress or clothing.
-
C.
colorOfApparel
Indicates the specific color attribute associated with a piece of apparel or clothing item.
-
D.
traditionalKitColor
chosen
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
E.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.