Triple
T19968260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckersmühlen |
E479999
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object | Bundesstraße 2 |
—
|
NE NERFINISHED |
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: Bundesstraße 2 | Statement: [Eckersmühlen, roadAccess, Bundesstraße 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundesstraße 2 Context triple: [Eckersmühlen, roadAccess, Bundesstraße 2]
-
A.
Bundesstraße 2
chosen
Bundesstraße 2 is a major German federal highway running in a north–south direction and connecting several important cities and regions.
-
B.
Bundesstraße 1
Bundesstraße 1 is a major German federal highway that runs east–west across the country, connecting several important cities and historical routes.
-
C.
Bundesstraße 10
Bundesstraße 10 is a major federal highway in southern Germany that runs east–west and connects several important cities in the states of Baden-Württemberg and Rhineland-Palatinate.
-
D.
Bundesstraße 28
Bundesstraße 28 is a major federal highway in southern Germany that connects several cities in Baden-Württemberg and beyond, serving as an important east–west transport route.
-
E.
Bundesstraße 14
Bundesstraße 14 is a major federal highway in Germany that connects several important cities and regions in the southern part of the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.