Triple
T10379826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werse |
E244607
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Albersloh
Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
|
E875012
|
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: Albersloh | Statement: [Werse, flowsThrough, Albersloh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albersloh Context triple: [Werse, flowsThrough, Albersloh]
-
A.
Albershausen
Albershausen is a small municipality in the German state of Baden-Württemberg, located in the Göppingen district in southern Germany.
-
B.
Ennigerloh
Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
-
C.
Oberselters
Oberselters is a district of the spa town Bad Camberg in Hesse, Germany, known for its rural character within the Taunus region.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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: Albersloh Triple: [Werse, flowsThrough, Albersloh]
Generated description
Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albersloh Target entity description: Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
-
A.
Albershausen
Albershausen is a small municipality in the German state of Baden-Württemberg, located in the Göppingen district in southern Germany.
-
B.
Ennigerloh
Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
-
C.
Oberselters
Oberselters is a district of the spa town Bad Camberg in Hesse, Germany, known for its rural character within the Taunus region.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b1d5b388190841ed0df2145ad7a |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: April 6, 2026, 12:03 p.m.