Triple
T21277129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minden-Lübbecke district |
E524416
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rahden |
—
|
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: Rahden | Statement: [Minden-Lübbecke district, contains, Rahden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahden Context triple: [Minden-Lübbecke district, contains, Rahden]
-
A.
Rahden
chosen
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
-
B.
Rüthi
Rüthi is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Austria.
-
C.
Hardegsen
Hardegsen is a small town in Lower Saxony, Germany, known for its medieval castle and historic town center.
-
D.
Radeburg
Radeburg is a small town in the German state of Saxony, situated north of Dresden and known for its historic center and surrounding rural landscape.
-
E.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736583c08819087a4726538e703e2 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.