Triple
T15183779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Arena |
E362813
|
entity |
| Predicate | hasUEFARating |
P6315
|
FINISHED |
| Object | UEFA Category 4 stadium |
—
|
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: UEFA Category 4 stadium | Statement: [Volkswagen Arena, hasUEFARating, UEFA Category 4 stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUEFARating Context triple: [Volkswagen Arena, hasUEFARating, UEFA Category 4 stadium]
-
A.
hasUEFACoefficientRanking
Indicates that an entity is associated with a specific position or value in UEFA’s official coefficient ranking system.
-
B.
hasUEFACategory
chosen
Indicates that an entity is classified under a specific UEFA-defined category or tier.
-
C.
fifaEligibilityRule
Indicates that a person meets the official criteria set by FIFA to represent a particular national team in international football competitions.
-
D.
fifaRecognized
Indicates that an organization, competition, or entity is officially recognized or sanctioned by FIFA as meeting its standards or falling under its authority.
-
E.
levelInUEFASystem
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.