Triple
T19563129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaeang |
E489506
|
entity |
| Predicate | hasDrivingSideInCountry |
P250
|
FINISHED |
| Object | 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: left | Statement: [Tanaeang, hasDrivingSideInCountry, left]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrivingSideInCountry Context triple: [Tanaeang, hasDrivingSideInCountry, left]
-
A.
drivingSide
chosen
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
B.
drivingSideChangeYear
Indicates the year in which a place officially changed the side of the road on which vehicles are required to drive.
-
C.
drivingPrinciple
Indicates that one entity functions as the core motivating idea, value, or rule that fundamentally guides or directs another entity’s behavior, decisions, or development.
-
D.
regionCountrySide
Indicates that a region is located in or associated with the countryside or rural area of a country.
-
E.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f75b2d481909fa3f603fe6bd5bd |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.