Triple
T22336850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 UEFA Champions League Final |
E552169
|
entity |
| Predicate | realMadridTitleCount |
P113566
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [2018 UEFA Champions League Final, realMadridTitleCount, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realMadridTitleCount Context triple: [2018 UEFA Champions League Final, realMadridTitleCount, 13]
-
A.
leagueTitlesWonWithRealMadrid
Indicates the number of league titles an individual has won while playing for or managing Real Madrid.
-
B.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
C.
realMadridChampionsLeagueTitlesTotalAfterMatch
chosen
Indicates the total number of UEFA Champions League titles Real Madrid has won after the specified match has been played.
-
D.
realMadridConsecutiveEuropeanCups
Indicates that Real Madrid won European Cup titles in consecutive seasons without interruption.
-
E.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157804e60819094e2a903ace6f4b2 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.