Triple
T14125731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wupper basin |
E340025
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kürten
Kürten is a small municipality in North Rhine-Westphalia, Germany, situated in the hilly Bergisches Land region east of Cologne.
|
E1082588
|
NE FINISHED |
How this triple was built (4 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: Kürten | Statement: [Wupper basin, containsTown, Kürten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kürten Context triple: [Wupper basin, containsTown, Kürten]
-
A.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
B.
Hagen
Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
-
C.
Hagen
Hagen is a surname of German origin borne by various notable individuals across fields such as music, sports, and academia.
-
D.
Hagen
Hagen is a formidable and cunning warrior in the medieval German epic "Nibelungenlied," best known for betraying and killing the hero Siegfried.
-
E.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kürten Triple: [Wupper basin, containsTown, Kürten]
Generated description
Kürten is a small municipality in North Rhine-Westphalia, Germany, situated in the hilly Bergisches Land region east of Cologne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kürten Target entity description: Kürten is a small municipality in North Rhine-Westphalia, Germany, situated in the hilly Bergisches Land region east of Cologne.
-
A.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
B.
Hagen
Hagen is a surname of German origin borne by various notable individuals across fields such as music, sports, and academia.
-
C.
Hagen
Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
-
D.
Hagen
Hagen is a formidable and cunning warrior in the medieval German epic "Nibelungenlied," best known for betraying and killing the hero Siegfried.
-
E.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
- F. None of above. chosen
Provenance (5 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0a7a7c8190860d8ce47b5f0732 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0dec2488190be9c24d3744e7243 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce206b0588190a0f4b24231d3c365 |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.