Triple
T23158797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Freiberg |
E578521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Clausnitz |
—
|
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: Clausnitz | Statement: [Kreis Freiberg, contains, Clausnitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clausnitz Context triple: [Kreis Freiberg, contains, Clausnitz]
-
A.
Ködnitz
Ködnitz is a small municipality in northern Bavaria, Germany, known for its rural character within the Franconian region.
-
B.
Claußnitz
chosen
Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
-
C.
Klotzsch
Klotzsch is the standard botanical author abbreviation used to cite the works of German pharmacist and botanist Ernst Heinrich von Klotzsch in plant nomenclature.
-
D.
Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
-
E.
Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efeddd48190b6d03d2146583dcc |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.