Triple
T9482171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norden |
E228667
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object |
Stadt Norden
Stadt Norden is the municipal government administration responsible for managing local affairs in the town of Norden in Lower Saxony, Germany.
|
E802494
|
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: Stadt Norden | Statement: [Norden, governingBody, Stadt Norden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadt Norden Context triple: [Norden, governingBody, Stadt Norden]
-
A.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
B.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Borghorst
Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
-
E.
Stierstadt
Stierstadt is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and proximity to the Frankfurt metropolitan area.
- 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: Stadt Norden Triple: [Norden, governingBody, Stadt Norden]
Generated description
Stadt Norden is the municipal government administration responsible for managing local affairs in the town of Norden in Lower Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stadt Norden Target entity description: Stadt Norden is the municipal government administration responsible for managing local affairs in the town of Norden in Lower Saxony, Germany.
-
A.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
B.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Borghorst
Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
-
E.
Stierstadt
Stierstadt is a district of the town Oberursel in the Taunus region of Hesse, Germany, known for its residential character and proximity to the Frankfurt metropolitan area.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804af6d08190a281cb27407c791c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d0620608190a6697777ec2eec26 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12db5c20881909a7011a3d25dd2b8 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4f1b9081908e73aa674d1ef0e4 |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:55 p.m.