Triple
T21036659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Röbel/Müritz |
E518207
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Röbel/Müritz
Röbel/Müritz is a small lakeside town in the Mecklenburg Lake District of northeastern Germany, known for its historic architecture and location on Lake Müritz.
|
E1465549
|
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: Röbel/Müritz | Statement: [Kreis Röbel/Müritz, capital, Röbel/Müritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röbel/Müritz Context triple: [Kreis Röbel/Müritz, capital, Röbel/Müritz]
-
A.
Müritz
Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
-
B.
Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
-
C.
Binz (Rügen)
Binz (Rügen) is a popular seaside resort town on Germany’s Baltic Sea island of Rügen, known for its sandy beaches and historic resort architecture.
-
D.
Pasewalk
Pasewalk is a small historic town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
E.
Othmarschen
Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
- 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: Röbel/Müritz Triple: [Kreis Röbel/Müritz, capital, Röbel/Müritz]
Generated description
Röbel/Müritz is a small lakeside town in the Mecklenburg Lake District of northeastern Germany, known for its historic architecture and location on Lake Müritz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Röbel/Müritz Target entity description: Röbel/Müritz is a small lakeside town in the Mecklenburg Lake District of northeastern Germany, known for its historic architecture and location on Lake Müritz.
-
A.
Müritz
Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
-
B.
Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
-
C.
Binz (Rügen)
Binz (Rügen) is a popular seaside resort town on Germany’s Baltic Sea island of Rügen, known for its sandy beaches and historic resort architecture.
-
D.
Pasewalk
Pasewalk is a small historic town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
E.
Othmarschen
Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0950625e30819097e69e0c44e95b8f |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0954e2359c819099e17505ecf27a37 |
completed | May 17, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09552f59408190a5a139df79f9a0a2 |
completed | May 17, 2026, 5:42 a.m. |
Created at: April 16, 2026, 2:02 p.m.