Triple
T24465636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 UEFA Champions League Final |
E616958
|
entity |
| Predicate | isAllEnglishFinal |
P88563
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2021 UEFA Champions League Final, isAllEnglishFinal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAllEnglishFinal Context triple: [2021 UEFA Champions League Final, isAllEnglishFinal, true]
-
A.
hasEnglishComponent
Indicates that something includes or is associated with a component that is in the English language.
-
B.
isUnilingually
chosen
Indicates that an entity communicates or operates using only a single language in the specified context.
-
C.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasEnglishReception
Indicates that something has been received, interpreted, or responded to within an English-speaking context.
-
E.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2993ecd988190991598832b29a131 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.