Triple

T202438
Position Surface form Disambiguated ID Type / Status
Subject Wannsee E4533 entity
Predicate near P350 FINISHED
Object Grunewald forest
Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
 E25888 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: Grunewald forest | Statement: [Wannsee, near, Grunewald forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grunewald forest
Context triple: [Wannsee, near, Grunewald forest]
  • A. Tegeler Forst
    Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
  • B. Black Forest
    The Black Forest is a large, densely wooded mountain range in southwestern Germany known for its picturesque villages, cuckoo clocks, and origin of the Danube River.
  • C. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • D. Ardennes Forest
    The Ardennes Forest is a densely wooded, hilly region in Belgium, Luxembourg, and France that became historically significant as a key invasion route used by German forces in both World Wars.
  • E. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • 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: Grunewald forest
Triple: [Wannsee, near, Grunewald forest]
Generated description
Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grunewald forest
Target entity description: Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
  • A. Tegeler Forst
    Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
  • B. Black Forest
    The Black Forest is a large, densely wooded mountain range in southwestern Germany known for its picturesque villages, cuckoo clocks, and origin of the Danube River.
  • C. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • D. Ardennes Forest
    The Ardennes Forest is a densely wooded, hilly region in Belgium, Luxembourg, and France that became historically significant as a key invasion route used by German forces in both World Wars.
  • E. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be5a6d081909723b23a6361d6ea completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32813ed0c8190bebd5129eb5ebfe7 completed Feb. 28, 2026, 5:38 p.m.
NEDg Description generation batch_69a32878fab08190958af14704020692 completed Feb. 28, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69a3290cda5481909b6e04cb869d60d8 completed Feb. 28, 2026, 5:42 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.