Triple

T1367042
Position Surface form Disambiguated ID Type / Status
Subject Havel River E30026 entity
Predicate passesThrough P225 FINISHED
Object Werder (Havel)
Werder (Havel) is a historic town in Brandenburg, Germany, known for its island old town, fruit-growing traditions, and annual tree blossom festival along the Havel.
 E155848 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: Werder (Havel) | Statement: [Havel River, passesThrough, Werder (Havel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Werder (Havel)
Context triple: [Havel River, passesThrough, Werder (Havel)]
  • A. Tegeler Werder
    Tegeler Werder is a wooded island located in Lake Tegel in Berlin, Germany, known as part of the lake’s natural landscape and recreational area.
  • B. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • C. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • D. Hamburger SV
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • E. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, 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: Werder (Havel)
Triple: [Havel River, passesThrough, Werder (Havel)]
Generated description
Werder (Havel) is a historic town in Brandenburg, Germany, known for its island old town, fruit-growing traditions, and annual tree blossom festival along the Havel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Werder (Havel)
Target entity description: Werder (Havel) is a historic town in Brandenburg, Germany, known for its island old town, fruit-growing traditions, and annual tree blossom festival along the Havel.
  • A. Tegeler Werder
    Tegeler Werder is a wooded island located in Lake Tegel in Berlin, Germany, known as part of the lake’s natural landscape and recreational area.
  • B. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • C. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • D. Hamburger SV
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • E. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf15d910819098e9a4b24247881b completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accffa9a40819083a3e55a5d83e040 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:57 p.m.