Triple
T35167191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Classico français |
E1015435
|
entity |
| Predicate | homeTeamInMarseille |
P2620
|
FINISHED |
| Object | Olympique de Marseille |
—
|
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: Olympique de Marseille | Statement: [Le Classico français, homeTeamInMarseille, Olympique de Marseille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamInMarseille Context triple: [Le Classico français, homeTeamInMarseille, Olympique de Marseille]
-
A.
homeTeamInParis
Indicates that the designated home team is located in or based in Paris.
-
B.
wonCompetitionWithMarseille
Indicates that the subject won a competition while playing for or representing the team Marseille.
-
C.
homeStadiumOfPSGMatches
Indicates the stadium that serves as the primary home venue where Paris Saint-Germain (PSG) plays its matches.
-
D.
homeTeam
chosen
Indicates that one entity is designated as the home team in a game, match, or sporting event involving another entity.
-
E.
locationTeam2Home
Indicates that the specified location serves as the home venue or home ground for the second team involved in the context.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.