Triple
T15422834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raphine, Virginia |
E369425
|
entity |
| Predicate | hasPrimaryRoadType |
P1019
|
FINISHED |
| Object | rural roads |
—
|
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: rural roads | Statement: [Raphine, Virginia, hasPrimaryRoadType, rural roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryRoadType Context triple: [Raphine, Virginia, hasPrimaryRoadType, rural roads]
-
A.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
B.
hasMajorRouteType
Indicates that an entity is associated with a primary classification of transportation route (such as highway, rail line, or other major route type).
-
C.
isPrimaryStateHighway
Indicates that a given road segment is designated as a primary (major) state highway within a state’s road network.
-
D.
isPrimarySurfaceStreetIn
Indicates that a street serves as a main or primary surface-level roadway within a specified area or jurisdiction.
-
E.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.