Triple
T8278537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Yashin |
E193606
|
entity |
| Predicate | EuropeanChampionshipYear |
P62995
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Lev Yashin, EuropeanChampionshipYear, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanChampionshipYear Context triple: [Lev Yashin, EuropeanChampionshipYear, 1960]
-
A.
EuropeanChampionYear
chosen
Indicates the year in which an entity achieved the status of European champion in a given competition or discipline.
-
B.
EuropeanChampionshipSemiFinalYear
Indicates the year in which a given European Championship semi-final match took place.
-
C.
bestEuropeanChampionshipResultYear
Indicates the year in which an entity achieved its best result in the European Championship.
-
D.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
E.
EuropeanChampionshipTitles
Indicates the number of European Championship 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:51 p.m.