Triple
T19183781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachsenwald |
E469644
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Wohltorf |
—
|
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: Wohltorf | Statement: [Sachsenwald, near, Wohltorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wohltorf Context triple: [Sachsenwald, near, Wohltorf]
-
A.
Wohltorf
chosen
Wohltorf is a small municipality in northern Germany’s Schleswig-Holstein state, situated near Hamburg and known for its residential character and surrounding natural landscapes.
-
B.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
C.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
D.
Niederwerth
Niederwerth is a small riverside municipality in western Germany’s Rhineland-Palatinate, situated on an island in the Rhine near Koblenz.
-
E.
Wustermark
Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61f1d9c8190b67555383d821958 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.