Triple
T9209113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marienfelde |
E221065
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Mariendorf
Mariendorf is a locality in the Tempelhof-Schöneberg borough of Berlin, Germany, known for its residential character and the historic Mariendorf trotting racetrack.
|
E799064
|
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: Mariendorf | Statement: [Marienfelde, borderedBy, Mariendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariendorf Context triple: [Marienfelde, borderedBy, Mariendorf]
-
A.
Kleinmachnow
Kleinmachnow is a suburban municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, located southwest of Berlin and known for its residential character and proximity to the capital.
-
B.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
C.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
-
D.
Teterow
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
-
E.
Rüngsdorf
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
- 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: Mariendorf Triple: [Marienfelde, borderedBy, Mariendorf]
Generated description
Mariendorf is a locality in the Tempelhof-Schöneberg borough of Berlin, Germany, known for its residential character and the historic Mariendorf trotting racetrack.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariendorf Target entity description: Mariendorf is a locality in the Tempelhof-Schöneberg borough of Berlin, Germany, known for its residential character and the historic Mariendorf trotting racetrack.
-
A.
Kleinmachnow
Kleinmachnow is a suburban municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, located southwest of Berlin and known for its residential character and proximity to the capital.
-
B.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
C.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
-
D.
Teterow
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
-
E.
Rüngsdorf
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110107c4c819091037d83362b0021 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d110eeddc881908661d110269b8a1c |
completed | April 4, 2026, 1:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111f3190c8190ba2fe5687212da25 |
completed | April 4, 2026, 1:28 p.m. |
Created at: March 30, 2026, 7:26 p.m.