Triple
T36115850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalle Rovanperä |
E1044611
|
entity |
| Predicate | previouslyDroveCarModel |
P200399
|
FINISHED |
| Object | Škoda Fabia R5 |
—
|
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: Škoda Fabia R5 | Statement: [Kalle Rovanperä, previouslyDroveCarModel, Škoda Fabia R5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyDroveCarModel Context triple: [Kalle Rovanperä, previouslyDroveCarModel, Škoda Fabia R5]
-
A.
previousCarModel
Indicates that one car model directly precedes another in a chronological or generational sequence.
-
B.
usedVehicleModel
Indicates that a vehicle is a pre-owned (used) instance of a particular vehicle model.
-
C.
hasDrivenInCategory
Indicates that an entity has previously driven or operated a vehicle within a specified driving category or classification.
-
D.
hasFormerDriver
Indicates that an entity previously served as a driver for another entity but no longer holds that role.
-
E.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
| PDg | Predicate description generation | batch_69ff878e8334819097e3c4bb5ca6ffa5 |
completed | May 9, 2026, 7:14 p.m. |
Created at: May 3, 2026, 4:08 p.m.