Triple
T34701370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 European Cup Final |
E1000376
|
entity |
| Predicate | BorussiaMönchengladbachCountry |
P86066
|
FINISHED |
| Object | West Germany |
—
|
NE NERFINISHED |
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: West Germany | Statement: [1977 European Cup Final, BorussiaMönchengladbachCountry, West Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BorussiaMönchengladbachCountry Context triple: [1977 European Cup Final, BorussiaMönchengladbachCountry, West Germany]
-
A.
BorussiaMönchengladbachCaptain
Indicates that the specified person is the captain of the Borussia Mönchengladbach football team.
-
B.
countryOfAssociatedClub
chosen
Indicates the country with which a given club is officially associated or based.
-
C.
manchesterUnitedCountry
Indicates the country in which Manchester United is based or associated.
-
D.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
E.
countryOfClubPlayedFor
Indicates the country in which the club that an entity played for is based.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 3:59 p.m.