Triple
T35917132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 World Rally Championship season |
E1038777
|
entity |
| Predicate | runnersUpCoDriver |
P184462
|
FINISHED |
| Object | Martin Järveoja |
—
|
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: Martin Järveoja | Statement: [2022 World Rally Championship season, runnersUpCoDriver, Martin Järveoja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnersUpCoDriver Context triple: [2022 World Rally Championship season, runnersUpCoDriver, Martin Järveoja]
-
A.
runnerUpDriver
Indicates that one driver finished in second place relative to others in a race or competition.
-
B.
coDriversChampion
Indicates that the subject was the co-driver who won the championship alongside a primary driver in a given motorsport series or season.
-
C.
conferenceOfRunnerUp
Indicates the conference or league affiliation to which the runner-up entity belongs.
-
D.
runnerUpProfessionalPartner
Indicates the professional partner associated with the entity that finished as runner-up in a competition or contest.
-
E.
captainOfRunnerUpTeam
Indicates the person who serves as the captain of the team that finished in second place in a competition or tournament.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:07 p.m.