Triple
T23158786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Freiberg |
E578521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Niederwiesa |
—
|
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: Niederwiesa | Statement: [Kreis Freiberg, contains, Niederwiesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederwiesa Context triple: [Kreis Freiberg, contains, Niederwiesa]
-
A.
Niederwiesa
chosen
Niederwiesa is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Chemnitz.
-
B.
Weßling
Weßling is a small municipality in Bavaria, Germany, known for its scenic lake and as a residential community near Munich.
-
C.
Weilersbach
Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
-
D.
Wieseck
Wieseck is a small river in the German state of Hesse that flows through the city of Giessen and its surrounding region.
-
E.
Weschnitz
Weschnitz is a river in southwestern Germany that flows from the Odenwald hills through Hesse and Baden-Württemberg before joining the Rhine.
- 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.