Triple
T21287771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diepholz district |
E524705
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bruchhausen-Vilsen Samtgemeinde |
—
|
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: Bruchhausen-Vilsen Samtgemeinde | Statement: [Diepholz district, contains, Bruchhausen-Vilsen Samtgemeinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruchhausen-Vilsen Samtgemeinde Context triple: [Diepholz district, contains, Bruchhausen-Vilsen Samtgemeinde]
-
A.
Bruchhausen-Vilsen
chosen
Bruchhausen-Vilsen is a small market town in Lower Saxony, Germany, known for its historic narrow-gauge railway and rural charm.
-
B.
Samtgemeinde Bersenbrück
Samtgemeinde Bersenbrück is a collective municipality in Lower Saxony, Germany, comprising several member villages and towns administered jointly.
-
C.
Willingshausen
Willingshausen is a small municipality in central Germany known for its historic artists’ colony and rural cultural heritage.
-
D.
Bruchhausen
Bruchhausen is a village and district within the town of Höxter in the German state of North Rhine-Westphalia.
-
E.
Bruchhausen
Bruchhausen is a district of the city of Arnsberg in North Rhine-Westphalia, Germany.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.