Triple
T18311257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odenwaldkreis |
E438629
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brombachtal |
—
|
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: Brombachtal | Statement: [Odenwaldkreis, contains, Brombachtal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brombachtal Context triple: [Odenwaldkreis, contains, Brombachtal]
-
A.
Reppischtal
Reppischtal is a scenic valley in the canton of Zurich, Switzerland, known for its natural landscapes shaped by the Reppisch river and popular for hiking and outdoor recreation.
-
B.
Urbachtal
Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
-
C.
Haselbachtal
Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
-
D.
Fischbachtal
chosen
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
E.
Wehretal
Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.