Triple
T15250631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meissen district |
E364508
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Weinböhla |
E1063898
|
NE FINISHED |
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: Weinböhla | Statement: [Meissen district, containsMunicipality, Weinböhla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weinböhla Context triple: [Meissen district, containsMunicipality, Weinböhla]
-
A.
Weinböhla
chosen
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
B.
Riederau
Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
-
C.
Droyßig
Droyßig is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, known for its historic castle and location within the broader Leipzig metropolitan area.
-
D.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
E.
Tetschen-Bodenbach
Tetschen-Bodenbach is the former German name for the Czech city of Děčín, a historic town in northern Bohemia near the German border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 3:13 a.m.