Triple
T14852942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe National Roads Administration |
E349275
|
entity |
| Predicate | typeOfRoadsCovered |
P1019
|
FINISHED |
| Object | national 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: national roads | Statement: [Zimbabwe National Roads Administration, typeOfRoadsCovered, national roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRoadsCovered Context triple: [Zimbabwe National Roads Administration, typeOfRoadsCovered, national roads]
-
A.
hasRoads
Indicates that there exist constructed road connections linking the related entities.
-
B.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
-
C.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
D.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
E.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.