Triple
T21965324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Cup 1996 final |
E542441
|
entity |
| Predicate | editionNumberAsChampionsLeagueFinal |
P146722
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [European Cup 1996 final, editionNumberAsChampionsLeagueFinal, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionNumberAsChampionsLeagueFinal Context triple: [European Cup 1996 final, editionNumberAsChampionsLeagueFinal, 4]
-
A.
editionOfEuropeanCupFinal
Indicates that one entity is a specific numbered or particular edition of the European Cup final associated with another entity.
-
B.
seasonNumberAsChampionsLeague
Indicates the specific season number in which an entity participated in or was associated with the Champions League.
-
C.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles an entity has won.
-
D.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
E.
ChampionsLeagueOutcome
Indicates the result or status of an entity’s participation in the UEFA Champions League (e.g., winner, finalist, eliminated stage, or overall outcome).
- F. None of above. chosen
Provenance (4 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 8:01 p.m.