Triple

T1178493
Position Surface form Disambiguated ID Type / Status
Subject East Germany E25081 entity
Predicate hadSubdivision P747 FINISHED
Object Bezirk Magdeburg
Bezirk Magdeburg was an administrative district of the former East Germany centered around the city of Magdeburg.
E141723 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: Bezirk Magdeburg | Statement: [East Germany, hadSubdivision, Bezirk Magdeburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Magdeburg
Context triple: [East Germany, hadSubdivision, Bezirk Magdeburg]
  • A. Bezirk Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • B. Bezirk Erfurt
    Bezirk Erfurt was an administrative district of the former East Germany centered around the city of Erfurt and existing from the 1952 territorial reform until German reunification in 1990.
  • C. Bezirk Rostock
    Bezirk Rostock was an administrative district in the former East Germany, centered around the city of Rostock on the Baltic Sea.
  • D. Bezirk Dresden
    Bezirk Dresden was an administrative district centered on the city of Dresden that functioned as one of the key regional divisions of the former East Germany.
  • E. Bezirk Gera
    Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
  • 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: Bezirk Magdeburg
Triple: [East Germany, hadSubdivision, Bezirk Magdeburg]
Generated description
Bezirk Magdeburg was an administrative district of the former East Germany centered around the city of Magdeburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bezirk Magdeburg
Target entity description: Bezirk Magdeburg was an administrative district of the former East Germany centered around the city of Magdeburg.
  • A. Bezirk Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • B. Bezirk Erfurt
    Bezirk Erfurt was an administrative district of the former East Germany centered around the city of Erfurt and existing from the 1952 territorial reform until German reunification in 1990.
  • C. Bezirk Rostock
    Bezirk Rostock was an administrative district in the former East Germany, centered around the city of Rostock on the Baltic Sea.
  • D. Bezirk Dresden
    Bezirk Dresden was an administrative district centered on the city of Dresden that functioned as one of the key regional divisions of the former East Germany.
  • E. Bezirk Gera
    Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f6d4e788190b993dc2bdd69ed26 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fe33f2c8190bd2ea9dfa9744a3a completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac90412d3881909278a9a6c6536ce3 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:45 p.m.