Triple
T19785593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Rastatt |
E475255
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Gernsbach |
—
|
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: town of Gernsbach | Statement: [district of Rastatt, contains, town of Gernsbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Gernsbach Context triple: [district of Rastatt, contains, town of Gernsbach]
-
A.
Gernsbach
chosen
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
B.
Gengenbach
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
-
C.
Grünbach
Grünbach is a small stream in Germany that serves as a tributary of the river Jagst.
-
D.
Bad Griesbach im Schwarzwald
Bad Griesbach im Schwarzwald is a small spa town in the Black Forest region of southwestern Germany, known historically as the place where politician Matthias Erzberger was assassinated.
-
E.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.