Triple
T2507693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France national football team |
E52622
|
entity |
| Predicate | uefaEuropeanChampionshipWinningYear |
P13985
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [France national football team, uefaEuropeanChampionshipWinningYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uefaEuropeanChampionshipWinningYear Context triple: [France national football team, uefaEuropeanChampionshipWinningYear, 1984]
-
A.
wonEuropeanChampionship
chosen
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
B.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
C.
UEFACupWinnersCupTitleSeason
Indicates the specific football season in which a team won the UEFA Cup Winners' Cup title.
-
D.
wonUEFAEuropaConferenceLeagueYear
Indicates that the subject won the UEFA Europa Conference League in the specified year.
-
E.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.