Triple
T13114065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecklenburgische Seenplatte (district) |
E311047
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stavenhagen
Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
|
E1021841
|
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: Stavenhagen | Statement: [Mecklenburgische Seenplatte (district), contains, Stavenhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stavenhagen Context triple: [Mecklenburgische Seenplatte (district), contains, Stavenhagen]
-
A.
Stahle
Stahle is a village and district of the town of Höxter in the state of North Rhine-Westphalia, Germany.
-
B.
Gerhardsen
Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
-
C.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
D.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
E.
Osterfeld
Osterfeld is a small town in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan region.
- 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: Stavenhagen Triple: [Mecklenburgische Seenplatte (district), contains, Stavenhagen]
Generated description
Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stavenhagen Target entity description: Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
-
A.
Stahle
Stahle is a village and district of the town of Höxter in the state of North Rhine-Westphalia, Germany.
-
B.
Gerhardsen
Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
-
C.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
D.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
E.
Osterfeld
Osterfeld is a small town in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan region.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.