Triple
T36115849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalle Rovanperä |
E1044611
|
entity |
| Predicate | drivesCarModel |
P32674
|
FINISHED |
| Object | Toyota GR Yaris Rally1 |
—
|
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: Toyota GR Yaris Rally1 | Statement: [Kalle Rovanperä, drivesCarModel, Toyota GR Yaris Rally1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivesCarModel Context triple: [Kalle Rovanperä, drivesCarModel, Toyota GR Yaris Rally1]
-
A.
carModel
chosen
Indicates the specific model designation of a car within a particular make or brand.
-
B.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
C.
driverModel
Indicates that one entity functions as the driver model or controlling model for another entity, defining how the latter operates or behaves.
-
D.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
E.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
- 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_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:08 p.m.