Triple
T8337664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattingen |
E195827
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Niederwenigern
Niederwenigern is a district of the town of Hattingen in North Rhine-Westphalia, Germany, known for its village-like character and historic church.
|
E724682
|
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: Niederwenigern | Statement: [Hattingen, hasSubdivision, Niederwenigern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederwenigern Context triple: [Hattingen, hasSubdivision, Niederwenigern]
-
A.
Niederfeld
Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
D.
Werneuchen
Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
-
E.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
- 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: Niederwenigern Triple: [Hattingen, hasSubdivision, Niederwenigern]
Generated description
Niederwenigern is a district of the town of Hattingen in North Rhine-Westphalia, Germany, known for its village-like character and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederwenigern Target entity description: Niederwenigern is a district of the town of Hattingen in North Rhine-Westphalia, Germany, known for its village-like character and historic church.
-
A.
Niederfeld
Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
D.
Werneuchen
Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
-
E.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e4382081908634f31eb115e557 |
completed | April 1, 2026, 10:02 p.m. |
| NEDg | Description generation | batch_69cda20edc00819084c4ea5c77e1eb4f |
completed | April 1, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cda62491b481908bb37fad80414d4d |
completed | April 1, 2026, 11:11 p.m. |
Created at: March 30, 2026, 5:57 p.m.