Triple
T36333122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1983 European Cup Final vs Juventus |
E894705
|
entity |
| Predicate | Hamburger SV European CupTitles |
P187431
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1983 European Cup Final vs Juventus, Hamburger SV European CupTitles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Hamburger SV European CupTitles Context triple: [1983 European Cup Final vs Juventus, Hamburger SV European CupTitles, 1]
-
A.
Hamburger SV titleCount
chosen
Indicates the number of titles or championships that Hamburger SV has won.
-
B.
Hamburger SV nationality
Indicates the national affiliation or country associated with Hamburger SV.
-
C.
Hamburger SV routeToFinal
Indicates the path or sequence of matches by which Hamburger SV progresses to reach a final.
-
D.
EuropeanCupTitle
Indicates that an entity (typically a sports team or club) has won a European Cup title.
-
E.
wonEuropeanCupWinnersCup
Indicates that the subject has won the European Cup Winners' Cup football competition.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.