Triple
T26351494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transfăgărășan road |
E662911
|
entity |
| Predicate | TopGearDescription |
P160445
|
FINISHED |
| Object | one of the best driving roads in the world |
—
|
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: one of the best driving roads in the world | Statement: [Transfăgărășan road, TopGearDescription, one of the best driving roads in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TopGearDescription Context triple: [Transfăgărășan road, TopGearDescription, one of the best driving roads in the world]
-
A.
vehicleTheme
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
-
B.
featuresVehicle
Indicates that one entity includes, presents, or prominently incorporates a particular vehicle as part of its content, composition, or offering.
-
C.
CarOfTheYearIs
Indicates that a particular car has been designated as the "Car of the Year" for a given award, region, or time period.
-
D.
vehicleObsession
Indicates an intense, often excessive preoccupation or fixation that one entity has with vehicles.
-
E.
depictsVehicle
Indicates that one entity visually represents or portrays a vehicle in an image, artwork, or other depiction.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fec2c3c8190b76c15fa8a97f0e6 |
completed | May 2, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f6018ceb1c8190a6a5f84071659a96 |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 26, 2026, 10:45 p.m.