Triple
T2569066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Mannschaft |
E57620
|
entity |
| Predicate | euroWinningYears |
P31224
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Die Mannschaft, euroWinningYears, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euroWinningYears Context triple: [Die Mannschaft, euroWinningYears, 1972]
-
A.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
C.
euroDebut
Indicates the event or relationship in which an entity makes its first appearance or participation in a European competition or context.
-
D.
EuropeanTrophyCount
Indicates the number of European football trophies a team has won in officially recognized continental competitions.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.