Triple
T18197102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 European Cup Final |
E435687
|
entity |
| Predicate | realMadridConsecutiveEuropeanCups |
P130184
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1960 European Cup Final, realMadridConsecutiveEuropeanCups, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realMadridConsecutiveEuropeanCups Context triple: [1960 European Cup Final, realMadridConsecutiveEuropeanCups, 5]
-
A.
realMadridEuropeanCupsTotalAfterMatch
Indicates the total number of European Cups (Champions League titles) Real Madrid has accumulated after a given match.
-
B.
seasonNumberAsChampionsLeague
Indicates the specific season number in which an entity participated in or was associated with the Champions League.
-
C.
SupercopaDeEspañaTitles
Indicates the number of Supercopa de España titles an entity has won.
-
D.
realMadridChampionsLeagueTitlesTotalAfterMatch
Indicates the total number of UEFA Champions League titles Real Madrid has won after the specified match has been played.
-
E.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d377d48190869a033d12f6ee80 |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:31 a.m.