Triple
T21306547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vechta district |
E525212
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Lohne (Oldenburg) |
—
|
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: Lohne (Oldenburg) | Statement: [Vechta district, hasMunicipality, Lohne (Oldenburg)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lohne (Oldenburg) Context triple: [Vechta district, hasMunicipality, Lohne (Oldenburg)]
-
A.
Lohne
chosen
Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
-
B.
Stadtlohn
Stadtlohn is a small town in western Germany’s Münsterland region, near the Dutch border, known for its rural character and local industry.
-
C.
Lüneburg
Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
-
D.
Göhrde
Göhrde is a municipality in Lower Saxony, Germany, known for its extensive forested areas and historical royal hunting grounds.
-
E.
Lehrte
Lehrte is a town in Lower Saxony, Germany, located east of Hanover and known historically for its railway junction and agricultural surroundings.
- 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.