Triple
T26038341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 European Cup Final |
E647614
|
entity |
| Predicate | AstonVillaEuropeanCupFinalAppearanceNumber |
P161257
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1982 European Cup Final, AstonVillaEuropeanCupFinalAppearanceNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AstonVillaEuropeanCupFinalAppearanceNumber Context triple: [1982 European Cup Final, AstonVillaEuropeanCupFinalAppearanceNumber, 1]
-
A.
BayernMunichEuropeanCupFinalAppearanceNumber
Indicates the number of times Bayern Munich has appeared in a European Cup final.
-
B.
goalsForAstonVilla
Indicates the number of goals that were scored in favor of Aston Villa in a given match or context.
-
C.
ACMilanEuropeanCupTitlesAfterMatch
Indicates the number of European Cup titles AC Milan has won as of (or following) a specific match.
-
D.
NewcastleUnitedPreviousFAcupWins
Indicates that the subject (Newcastle United) has previously won the FA Cup a certain number of times or in certain years.
-
E.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 22, 2026, 9:08 a.m.