Triple
T10728836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordwestmecklenburg |
E253019
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dassow
Dassow is a small town in northern Germany’s Mecklenburg-Vorpommern region, near the Baltic Sea coast and the border with Schleswig-Holstein.
|
E897608
|
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: Dassow | Statement: [Nordwestmecklenburg, contains, Dassow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dassow Context triple: [Nordwestmecklenburg, contains, Dassow]
-
A.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
B.
Heringsdorf
Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
-
C.
Retzow
Retzow is a small municipality in the Havelland district of the federal state of Brandenburg in northeastern Germany.
-
D.
Damsholte
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
-
E.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
- 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: Dassow Triple: [Nordwestmecklenburg, contains, Dassow]
Generated description
Dassow is a small town in northern Germany’s Mecklenburg-Vorpommern region, near the Baltic Sea coast and the border with Schleswig-Holstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dassow Target entity description: Dassow is a small town in northern Germany’s Mecklenburg-Vorpommern region, near the Baltic Sea coast and the border with Schleswig-Holstein.
-
A.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
B.
Heringsdorf
Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
-
C.
Retzow
Retzow is a small municipality in the Havelland district of the federal state of Brandenburg in northeastern Germany.
-
D.
Damsholte
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
-
E.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc92a18819089cc67afee1c9b96 |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343ffc428819085599f251b7553e5 |
completed | April 18, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69e34fb556648190909c403f5b7709f2 |
completed | April 18, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:14 p.m.