Triple
T35881031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Atlético Vélez Sarsfield |
E1037506
|
entity |
| Predicate | kitDetailHome |
P108006
|
FINISHED |
| Object | blue V-shaped sash |
—
|
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: blue V-shaped sash | Statement: [Club Atlético Vélez Sarsfield, kitDetailHome, blue V-shaped sash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kitDetailHome Context triple: [Club Atlético Vélez Sarsfield, kitDetailHome, blue V-shaped sash]
-
A.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
kitSupplier
Indicates that one entity supplies kits or sets of components to another entity.
-
C.
featuresItem
Indicates that one entity includes, presents, or highlights another entity as a notable item or component.
-
D.
styleDetail
Indicates a relationship where specific stylistic characteristics or attributes of something are described or specified in detail.
-
E.
primaryKitDesign
chosen
Indicates the main visual design or pattern used on an entity’s primary kit or uniform.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.