Triple
T3952693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 2016 Final |
E84901
|
entity |
| Predicate | winningTeamFirstEuropeanChampionship |
P16057
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [UEFA Euro 2016 Final, winningTeamFirstEuropeanChampionship, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningTeamFirstEuropeanChampionship Context triple: [UEFA Euro 2016 Final, winningTeamFirstEuropeanChampionship, true]
-
A.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
B.
firstBritishEuropeanCupWinner
Indicates that the subject is the first British club to win the European Cup (now UEFA Champions League).
-
C.
winningTeamFirstTitle
chosen
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
D.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
E.
uefaNationsLeagueWinningYear
Indicates the year in which a given team or nation won the UEFA Nations League.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.