Triple
T7020955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union national football team |
E162821
|
entity |
| Predicate | bestUefaEuropeanChampionshipResult |
P13985
|
FINISHED |
| Object | champions |
—
|
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: champions | Statement: [Soviet Union national football team, bestUefaEuropeanChampionshipResult, champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestUefaEuropeanChampionshipResult Context triple: [Soviet Union national football team, bestUefaEuropeanChampionshipResult, champions]
-
A.
bestEuropeanChampionshipResultYear
Indicates the year in which an entity achieved its best result in the European Championship.
-
B.
bestUefaWomen’sChampionshipResult
Indicates the highest level of success an entity has achieved in the UEFA Women's Championship competition.
-
C.
wonEuropeanChampionship
chosen
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
D.
europeanCupWinYearWithAjax
Indicates the specific year in which a European Cup (now Champions League) victory occurred with Ajax as the winning team.
-
E.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.