Triple
T36115781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Ogier |
E1044610
|
entity |
| Predicate | wonWorldRallyChampionshipDriversTitleInSeason |
P102465
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Sébastien Ogier, wonWorldRallyChampionshipDriversTitleInSeason, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldRallyChampionshipDriversTitleInSeason Context triple: [Sébastien Ogier, wonWorldRallyChampionshipDriversTitleInSeason, 2013]
-
A.
wonDriversTitleFor
Indicates that one entity secured the drivers’ championship title while competing for, or representing, another entity.
-
B.
worldRallyChampionshipTitles
Indicates the number of World Rally Championship titles an entity has won.
-
C.
wonDriversTitleWithDriver
Indicates that a team or entity secured a drivers’ championship title in association with a specific driver.
-
D.
wonDriversTitleIn
chosen
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
-
E.
WRCWins
Indicates that an entity (typically a driver, team, or manufacturer) has achieved one or more victories in World Rally Championship (WRC) events.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.