Triple
T454967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany national football team |
E7212
|
entity |
| Predicate | EuropeanChampionshipTitles |
P13984
|
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: [Germany national football team, EuropeanChampionshipTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanChampionshipTitles Context triple: [Germany national football team, EuropeanChampionshipTitles, 3]
-
A.
CupWinnersCupTitles
Indicates the number of Cup Winners' Cup titles an entity has won.
-
B.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
C.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
D.
FACupTitles
Indicates the number of FA Cup titles that an entity (typically a football club) has won.
-
E.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef87cc7c8190a0fec933457821e2 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeeb85f881909580a6a86332b4a5 |
completed | Feb. 28, 2026, 1:34 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.