Triple
T31263568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Cup 1969–70 |
E797187
|
entity |
| Predicate | firstDutchClubToWin |
P207389
|
FINISHED |
| Object | Feyenoord |
E281470
|
NE 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: Feyenoord | Statement: [European Cup 1969–70, firstDutchClubToWin, Feyenoord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDutchClubToWin Context triple: [European Cup 1969–70, firstDutchClubToWin, Feyenoord]
-
A.
firstWinningClub
Indicates the club that was the earliest or first to win a particular competition, title, or event.
-
B.
isFirstFACupWinForClub
Indicates that the referenced FA Cup victory is the club’s first-ever FA Cup win in its history.
-
C.
mostSuccessfulClub
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
-
D.
firstEnglishClubManagerToWin
Indicates that the subject is the first manager of an English football club ever to achieve a particular victory or title.
-
E.
firstWinnerLeague
Indicates that an entity is the team or participant that won a particular league competition for the first time.
- F. None of above. chosen
Provenance (5 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a1e258ec481909b782e8de334a9ce |
completed | June 11, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:12 p.m.