Triple
T13911832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleinmachnow |
E334515
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object |
Stahnsdorf
Stahnsdorf is a municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, known for its large forest cemetery and its location on the southwestern outskirts of Berlin.
|
E1082968
|
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: Stahnsdorf | Statement: [Kleinmachnow, hasBorder, Stahnsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stahnsdorf Context triple: [Kleinmachnow, hasBorder, Stahnsdorf]
-
A.
Stolzenhagen
Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
B.
Schorfheide
Schorfheide is a large forested and lake-rich area in Brandenburg, Germany, known for its protected natural landscapes and historical use as a royal and political hunting ground.
-
C.
Schönwalde
Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
D.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
E.
Schönewalde
Schönewalde is a town in the state of Brandenburg, Germany, known for hosting a German Air Force base.
- 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: Stahnsdorf Triple: [Kleinmachnow, hasBorder, Stahnsdorf]
Generated description
Stahnsdorf is a municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, known for its large forest cemetery and its location on the southwestern outskirts of Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stahnsdorf Target entity description: Stahnsdorf is a municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, known for its large forest cemetery and its location on the southwestern outskirts of Berlin.
-
A.
Stolzenhagen
Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
B.
Schorfheide
Schorfheide is a large forested and lake-rich area in Brandenburg, Germany, known for its protected natural landscapes and historical use as a royal and political hunting ground.
-
C.
Schönwalde
Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
D.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
E.
Schönewalde
Schönewalde is a town in the state of Brandenburg, Germany, known for hosting a German Air Force base.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d44d848190ab445833e64a6bfc |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fcf996eee48190aeea588cbde50581 |
completed | May 7, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcfa02bcb081908cfca8544ccf347c |
completed | May 7, 2026, 8:45 p.m. |
Created at: April 9, 2026, 10:16 p.m.