Triple
T7367565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treptow-Köpenick |
E169909
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Schmöckwitz
Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
|
E689230
|
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: Schmöckwitz | Statement: [Treptow-Köpenick, contains, Schmöckwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmöckwitz Context triple: [Treptow-Köpenick, contains, Schmöckwitz]
-
A.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
B.
Schopsdorf
Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
-
C.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
D.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
E.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
- 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: Schmöckwitz Triple: [Treptow-Köpenick, contains, Schmöckwitz]
Generated description
Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schmöckwitz Target entity description: Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
-
A.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
B.
Schopsdorf
Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
-
C.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
D.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
E.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f2ffec108190ab60b0777d97dd89 |
completed | March 29, 2026, 9:38 a.m. |
| NEDg | Description generation | batch_69c8f39c8cdc81908918d6dc5948012e |
completed | March 29, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f46ab5ec819092508ddedc816c89 |
completed | March 29, 2026, 9:44 a.m. |
Created at: March 27, 2026, 3:06 p.m.