Triple
T33082079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Gueugnon |
E846533
|
entity |
| Predicate | defeatedIn2000CoupeDeLaLigueFinal |
P175788
|
FINISHED |
| Object | Paris Saint-Germain F.C. |
—
|
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: Paris Saint-Germain F.C. | Statement: [FC Gueugnon, defeatedIn2000CoupeDeLaLigueFinal, Paris Saint-Germain F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defeatedIn2000CoupeDeLaLigueFinal Context triple: [FC Gueugnon, defeatedIn2000CoupeDeLaLigueFinal, Paris Saint-Germain F.C.]
-
A.
coupeDeLaLigueTitle
Indicates that an entity has won a Coupe de la Ligue championship title.
-
B.
wonCompetitionWithMarseille
Indicates that the subject won a competition while playing for or representing the team Marseille.
-
C.
psgFirstChampionsLeagueFinal
Indicates that the event is the first UEFA Champions League final appearance for Paris Saint-Germain (PSG).
-
D.
opponentInEuro2000Final
Indicates that one entity was the opposing team of the other entity in the final match of the UEFA Euro 2000 tournament.
-
E.
numberOfCoupeDeLaLigueTitles
Indicates the total count of Coupe de la Ligue titles that an entity has won.
- F. None of above. chosen
Provenance (4 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:26 a.m.