Triple

T7733250
Position Surface form Disambiguated ID Type / Status
Subject B. G. Teubner E175315 entity
Predicate placeOfBirth P1 FINISHED
Object Großkrausnik
Großkrausnik is a small village in the German state of Brandenburg.
E684939 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: Großkrausnik | Statement: [B. G. Teubner, placeOfBirth, Großkrausnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großkrausnik
Context triple: [B. G. Teubner, placeOfBirth, Großkrausnik]
  • A. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • B. Jasenitz
    Jasenitz is a locality in present-day Poland (formerly in Pomerania, Germany) known as the birthplace of East German politician Hans Modrow.
  • C. Kaufering
    Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
  • D. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • E. Reichenau
    Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
  • 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: Großkrausnik
Triple: [B. G. Teubner, placeOfBirth, Großkrausnik]
Generated description
Großkrausnik is a small village in the German state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Großkrausnik
Target entity description: Großkrausnik is a small village in the German state of Brandenburg.
  • A. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • B. Jasenitz
    Jasenitz is a locality in present-day Poland (formerly in Pomerania, Germany) known as the birthplace of East German politician Hans Modrow.
  • C. Kaufering
    Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
  • D. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • E. Reichenau
    Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7033863d881909451a4f9675021a3 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b534b6588190885db4632b97775f completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b6b440dc81908c4989ed86554ddf completed March 29, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69c8b77fbd448190a7d96aada94e818d completed March 29, 2026, 5:24 a.m.
Created at: March 27, 2026, 4:06 p.m.