Triple
T11928747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League final 2000–2001 |
E283854
|
entity |
| Predicate | bayernFirstEuropeanCupTitleSince |
P62995
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [UEFA Champions League final 2000–2001, bayernFirstEuropeanCupTitleSince, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bayernFirstEuropeanCupTitleSince Context triple: [UEFA Champions League final 2000–2001, bayernFirstEuropeanCupTitleSince, 1976]
-
A.
BayernMunichCaptain
Indicates that the subject serves as the team captain of Bayern Munich.
-
B.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
C.
EuropeanChampionYear
chosen
Indicates the year in which an entity achieved the status of European champion in a given competition or discipline.
-
D.
europeanChampionIn
Indicates that an entity has won a European championship title in a specified sport, event, or competition.
-
E.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.