Triple
T37360670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 1994–95 |
E927567
|
entity |
| Predicate | seasonNumberAsChampionsLeagueBrand |
P80627
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [UEFA Champions League 1994–95, seasonNumberAsChampionsLeagueBrand, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberAsChampionsLeagueBrand Context triple: [UEFA Champions League 1994–95, seasonNumberAsChampionsLeagueBrand, 3]
-
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.
seasonNumberAsEuropaLeague
Indicates that the subject is associated with a specific season identified by its number within the UEFA Europa League competition.
-
D.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
E.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:16 p.m.