Triple
T30404511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabbia |
E773443
|
entity |
| Predicate | drivingOrientation |
P169169
|
FINISHED |
| Object | off-road |
—
|
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: off-road | Statement: [Sabbia, drivingOrientation, off-road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingOrientation Context triple: [Sabbia, drivingOrientation, off-road]
-
A.
drivingSide
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
B.
trailOrientation
Indicates the directional alignment or facing direction of a trail relative to a reference frame or compass directions.
-
C.
drivingFocus
Indicates that one entity serves as the primary motivating force, priority, or central concern guiding another entity’s actions or decisions.
-
D.
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.
-
E.
turningStyle
Indicates the manner or characteristic way in which an entity performs a turn or changes direction.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861c95e88190a5f3a4a6c952692a |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:03 p.m.