Triple
T24323695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022–2023 UEFA Champions League |
E613038
|
entity |
| Predicate | seasonNumberAsUEFAChampionsLeague |
P80627
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [2022–2023 UEFA Champions League, seasonNumberAsUEFAChampionsLeague, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberAsUEFAChampionsLeague Context triple: [2022–2023 UEFA Champions League, seasonNumberAsUEFAChampionsLeague, 31]
-
A.
seasonNumberAsChampionsLeague
chosen
Indicates the specific season number in which an entity participated in or was associated with the Champions League.
-
B.
editionNumberAsChampionsLeagueFinal
Indicates that an entity is associated with a specific numbered edition of the Champions League final.
-
C.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
D.
editionNumberAsEuropeanCupFinal
Indicates that the subject is identified by its specific sequential edition number as a European Cup final.
-
E.
editionOfEuropeanCupFinal
Indicates that one entity is a specific numbered or particular edition of the European Cup final associated with another entity.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ae127881909ef1772278181ce3 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:53 a.m.