Triple
T21306548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vechta district |
E525212
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Dinklage |
—
|
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: Dinklage | Statement: [Vechta district, hasMunicipality, Dinklage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinklage Context triple: [Vechta district, hasMunicipality, Dinklage]
-
A.
Dinklage
chosen
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
B.
Goeferdinge
Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
C.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
D.
Erkelenz
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
-
E.
Dongelberg
Dongelberg is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Jodoigne in the province of Walloon Brabant.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa52a508190bb5dc806b6483574 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.