Triple

T15761980
Position Surface form Disambiguated ID Type / Status
Subject Hohegeiß E382121 entity
Predicate partOf P40 FINISHED
Object town of Braunlage
The town of Braunlage is a German spa and winter sports resort in the Harz Mountains, known for its skiing, hiking, and scenic natural surroundings.
E1175985 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: town of Braunlage | Statement: [Hohegeiß, partOf, town of Braunlage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Braunlage
Context triple: [Hohegeiß, partOf, town of Braunlage]
  • A. Braunsbach
    Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
  • B. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • C. Lahnau
    Lahnau is a municipality in the Lahn-Dill district of the German state of Hesse, known for its location near the cities of Wetzlar and Gießen.
  • D. Böhlen
    Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
  • E. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • 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: town of Braunlage
Triple: [Hohegeiß, partOf, town of Braunlage]
Generated description
The town of Braunlage is a German spa and winter sports resort in the Harz Mountains, known for its skiing, hiking, and scenic natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: town of Braunlage
Target entity description: The town of Braunlage is a German spa and winter sports resort in the Harz Mountains, known for its skiing, hiking, and scenic natural surroundings.
  • A. Braunsbach
    Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
  • B. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • C. Lahnau
    Lahnau is a municipality in the Lahn-Dill district of the German state of Hesse, known for its location near the cities of Wetzlar and Gießen.
  • D. Böhlen
    Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
  • E. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.