Triple

T17583657
Position Surface form Disambiguated ID Type / Status
Subject Altensteig E428264 entity
Predicate hasSubdivision P747 FINISHED
Object Berneck
Berneck is a village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
E1276440 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: Berneck | Statement: [Altensteig, hasSubdivision, Berneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berneck
Context triple: [Altensteig, hasSubdivision, Berneck]
  • A. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • B. Beyenburg
    Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
  • C. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • D. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • E. Bockenem
    Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
  • 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: Berneck
Triple: [Altensteig, hasSubdivision, Berneck]
Generated description
Berneck is a village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berneck
Target entity description: Berneck is a village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
  • A. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • B. Beyenburg
    Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
  • C. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • D. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • E. Bockenem
    Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d015fc8190b2dd897026d6fcb5 completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddf17144819089c5795fc5f0b1e7 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01df69ccfc81909de6d300e1d72ad1 completed May 11, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a01e05515d88190b343ebc1aad4a351 completed May 11, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:50 a.m.