Triple
T34871426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Shilton |
E1005761
|
entity |
| Predicate | UEFAEuropeanChampionshipParticipation |
P63336
|
FINISHED |
| Object | 1980 UEFA European Championship |
—
|
NE NERFINISHED |
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: 1980 UEFA European Championship | Statement: [Peter Shilton, UEFAEuropeanChampionshipParticipation, 1980 UEFA European Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAEuropeanChampionshipParticipation Context triple: [Peter Shilton, UEFAEuropeanChampionshipParticipation, 1980 UEFA European Championship]
-
A.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
B.
europeanChampionshipAppearance
chosen
Indicates that an entity has participated in at least one edition of a European championship competition.
-
C.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
D.
uefaNationsLeagueTitles
Indicates the number of UEFA Nations League championship titles an entity (typically a national football team) has won.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.