Triple
T36192938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jari-Matti Latvala |
E1047038
|
entity |
| Predicate | drivingSurfaceSpecialty |
P130998
|
FINISHED |
| Object | gravel rallies |
—
|
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: gravel rallies | Statement: [Jari-Matti Latvala, drivingSurfaceSpecialty, gravel rallies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingSurfaceSpecialty Context triple: [Jari-Matti Latvala, drivingSurfaceSpecialty, gravel rallies]
-
A.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
B.
drivingDiscipline
Indicates the manner and quality of how an entity operates a vehicle, especially in terms of adherence to traffic rules and safe driving behavior.
-
C.
hasRacingSurfacePreference
chosen
Indicates that an entity has a favored or typical type of racing surface on which it prefers to compete or perform.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
roadBuiltFor
Indicates that a road was constructed specifically to serve, provide access to, or support the use or needs of a particular entity.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.