Triple
T6075204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany women's national football team |
E135382
|
entity |
| Predicate | europeanChampionshipTitleYear |
P62995
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Germany women's national football team, europeanChampionshipTitleYear, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: europeanChampionshipTitleYear Context triple: [Germany women's national football team, europeanChampionshipTitleYear, 1989]
-
A.
EuropeanChampionYear
chosen
Indicates the year in which an entity achieved the status of European champion in a given competition or discipline.
-
B.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
C.
bestEuropeanChampionshipResultYear
Indicates the year in which an entity achieved its best result in the European Championship.
-
D.
uefaNationsLeagueWinningYear
Indicates the year in which a given team or nation won the UEFA Nations League.
-
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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.