Triple
T33363956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermsdorfer Kreuz |
E854299
|
entity |
| Predicate | roadTypeConnected |
P1019
|
FINISHED |
| Object | Autobahn |
—
|
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: Autobahn | Statement: [Hermsdorfer Kreuz, roadTypeConnected, Autobahn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTypeConnected Context triple: [Hermsdorfer Kreuz, roadTypeConnected, Autobahn]
-
A.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
roadConnectivityStatus
Indicates the current state of whether and how well two locations are connected by a road network.
-
C.
roadTypeAtSquare
Indicates the specific type or classification of road present at a given square or location in a spatial grid or map.
-
D.
roadConnectionRegion
Indicates that a road provides a direct transportation connection between two regions.
-
E.
connectsRoadNetwork
Indicates that one entity is linked to another as part of the same road network, enabling continuous vehicular or transport connectivity between them.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.