Triple

T13113800
Position Surface form Disambiguated ID Type / Status
Subject Wandlitz E311040 entity
Predicate hasSubdivision P747 FINISHED
Object Schönwalde
Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
 E1041834 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: Schönwalde | Statement: [Wandlitz, hasSubdivision, Schönwalde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schönwalde
Context triple: [Wandlitz, hasSubdivision, Schönwalde]
  • A. Schönewalde
    Schönewalde is a town in the state of Brandenburg, Germany, known for hosting a German Air Force base.
  • B. Zossen
    Zossen is a town in Brandenburg, Germany, historically notable as a major military command center, including serving as a key headquarters area during the Soviet occupation after World War II.
  • C. 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.
  • D. Schönhausen
    Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
  • E. Glienicke
    Glienicke is a historic area in Berlin, Germany, known for its palaces, parks, and its location near the Glienicke Bridge over the Havel 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: Schönwalde
Triple: [Wandlitz, hasSubdivision, Schönwalde]
Generated description
Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schönwalde
Target entity description: Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • A. Schönewalde
    Schönewalde is a town in the state of Brandenburg, Germany, known for hosting a German Air Force base.
  • B. Zossen
    Zossen is a town in Brandenburg, Germany, historically notable as a major military command center, including serving as a key headquarters area during the Soviet occupation after World War II.
  • C. 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.
  • D. Schönhausen
    Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
  • E. Glienicke
    Glienicke is a historic area in Berlin, Germany, known for its palaces, parks, and its location near the Glienicke Bridge over the Havel 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460c05bc819089cdd004bb07c492 completed May 3, 2026, 12:56 p.m.
NEDg Description generation batch_69f749ffd5d4819096cee1b27838d7d3 completed May 3, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69f74a58aa948190978568028cc5a445 completed May 3, 2026, 1:15 p.m.
Created at: April 9, 2026, 9:06 p.m.