Triple
T24629232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 UEFA Champions League Final |
E609623
|
entity |
| Predicate | RealMadridEuropeanCupsCountAfterWin |
P113566
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [2002 UEFA Champions League Final, RealMadridEuropeanCupsCountAfterWin, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RealMadridEuropeanCupsCountAfterWin Context triple: [2002 UEFA Champions League Final, RealMadridEuropeanCupsCountAfterWin, 9]
-
A.
realMadridEuropeanCupsTotalAfterMatch
Indicates the total number of European Cups (Champions League titles) Real Madrid has accumulated after a given match.
-
B.
realMadridConsecutiveEuropeanCups
Indicates that Real Madrid won European Cup titles in consecutive seasons without interruption.
-
C.
realMadridChampionsLeagueTitlesTotalAfterMatch
chosen
Indicates the total number of UEFA Champions League titles Real Madrid has won after the specified match has been played.
-
D.
goalsByRealMadrid
Indicates the number of goals that were scored by Real Madrid.
-
E.
realMadridQualification
Indicates that Real Madrid has secured a place or advanced to the next stage in a competition or tournament.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.