Triple
T7594490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC St. Gallen |
E179822
|
entity |
| Predicate | awayKitType |
P25991
|
FINISHED |
| Object | away kit often features white or alternative colors |
—
|
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: away kit often features white or alternative colors | Statement: [FC St. Gallen, awayKitType, away kit often features white or alternative colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awayKitType Context triple: [FC St. Gallen, awayKitType, away kit often features white or alternative colors]
-
A.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
kitColorAwayPrimary
Indicates the primary color used for a team's away kit or uniform.
-
C.
kitColorsAway
chosen
Indicates the colors used for a team's away kit or uniform.
-
D.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
E.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.