Triple
T9791704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruneian |
E237620
|
entity |
| Predicate | associatedWithDrivingSide |
P250
|
FINISHED |
| Object | drives on the left |
—
|
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: drives on the left | Statement: [Bruneian, associatedWithDrivingSide, drives on the left]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithDrivingSide Context triple: [Bruneian, associatedWithDrivingSide, drives on the left]
-
A.
drivingSide
chosen
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
B.
situatedOnSideOf
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
C.
associatedWithDirection
Indicates that something has a relationship to, or is characterized by, a particular spatial or directional orientation.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
associatedWithRight
Indicates a relationship in which an entity is connected to, linked with, or related to something characterized as "right" (such as a right-hand side, a legal right, or a correct option), depending on the domain context.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda3456bac819097afb20ce9081dd7 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.