Triple
T16424488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märkischer Kreis |
E398905
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Neuenrade |
E1077912
|
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: Neuenrade | Statement: [Märkischer Kreis, hasMunicipality, Neuenrade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuenrade Context triple: [Märkischer Kreis, hasMunicipality, Neuenrade]
-
A.
Neuenrade
chosen
Neuenrade is a small town in western Germany, located in the state of North Rhine-Westphalia and known for its scenic setting in the Sauerland region.
-
B.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
-
C.
Nordhorn
Nordhorn is a town in Lower Saxony, Germany, known as the administrative center of the Grafschaft Bentheim district near the Dutch border.
-
D.
Rüdinghausen
Rüdinghausen is a district of the city of Witten in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
-
E.
Langenfeld
Langenfeld is a town in western Germany, located in the state of North Rhine-Westphalia between Düsseldorf and Cologne.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f9da9081908dadbdac4b2d38ec |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179313470819090351e937ea34701 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:09 a.m.