Triple
T30830530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treviolo |
E785202
|
entity |
| Predicate | roadVehicleDrivingSide |
P250
|
FINISHED |
| Object | right |
—
|
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: right | Statement: [Treviolo, roadVehicleDrivingSide, right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadVehicleDrivingSide Context triple: [Treviolo, roadVehicleDrivingSide, right]
-
A.
drivingSide
chosen
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
B.
drivingOrientation
Indicates the customary side of the road on which vehicles are driven in a given place or context.
-
C.
bodySideOrientation
Indicates the spatial relationship of an entity with respect to the left, right, or bilateral side of a body.
-
D.
hasLeadingWheelArrangement
Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
-
E.
hasRacingSide
Indicates that an entity possesses or is associated with a side or aspect specifically dedicated to racing.
- 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690f9b8ac8190b5913fffaae48346 |
completed | May 3, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.