Triple
T36333077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1983 European Cup Final |
E894704
|
entity |
| Predicate | Hamburger SV European Cup titlesBeforeMatch |
P15091
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [1983 European Cup Final, Hamburger SV European Cup titlesBeforeMatch, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Hamburger SV European Cup titlesBeforeMatch Context triple: [1983 European Cup Final, Hamburger SV European Cup titlesBeforeMatch, 0]
-
A.
Hamburger SV nationality
Indicates the national affiliation or country associated with Hamburger SV.
-
B.
wonEuropeanCupWinnersCup
Indicates that the subject has won the European Cup Winners' Cup football competition.
-
C.
yearOfEuropeanCupWinnersCupTitle
Indicates the specific year in which an entity won the European Cup Winners' Cup title.
-
D.
EuropeanCupTitles
chosen
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
E.
EuropeanCupTitle
Indicates that an entity (typically a sports team or club) has won a European Cup title.
- 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_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.