Triple
T35574885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha Benz Memorial Route |
E1028047
|
entity |
| Predicate | usesRoadNetwork |
P176401
|
FINISHED |
| Object | public roads in Baden-Württemberg |
—
|
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: public roads in Baden-Württemberg | Statement: [Bertha Benz Memorial Route, usesRoadNetwork, public roads in Baden-Württemberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRoadNetwork Context triple: [Bertha Benz Memorial Route, usesRoadNetwork, public roads in Baden-Württemberg]
-
A.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
B.
roadNetworkContext
Indicates the contextual relationship between elements within a road network, such as how roads, intersections, and related infrastructure are organized or interact.
-
C.
linksToRoadNetwork
chosen
Indicates that an entity is connected or provides access to a road network.
-
D.
connectsRoadNetwork
Indicates that one entity is linked to another as part of the same road network, enabling continuous vehicular or transport connectivity between them.
-
E.
roadMode
Indicates the mode or type of transportation being used on a road within the described relationship or action.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:04 p.m.