Triple
T29290461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 UEFA Cup Final |
E742644
|
entity |
| Predicate | teamFromLigue1 |
P36699
|
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: [1999 UEFA Cup Final, teamFromLigue1, Olympique de Marseille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamFromLigue1 Context triple: [1999 UEFA Cup Final, teamFromLigue1, Olympique de Marseille]
-
A.
Ligue1Titles
Indicates the number of Ligue 1 championship titles an entity has won.
-
B.
associationFootballTeamOf
Indicates that one entity is the association football (soccer) team to which the other entity belongs or is affiliated.
-
C.
team1League
chosen
Indicates the league or competition in which the first team (team1) participates or is classified.
-
D.
Ligue1TitleSeason
Indicates the relationship between a Ligue 1 football title and the specific season in which that title was won.
-
E.
associationFootballClub
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6653fd31c8190af982a019dfe645e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 1:02 p.m.