Triple

T15898927
Position Surface form Disambiguated ID Type / Status
Subject Bautzen district E385533 entity
Predicate containsTown P847 FINISHED
Object Bernsdorf
Bernsdorf is a small town in the Bautzen district of the German federal state of Saxony.
E1193576 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: Bernsdorf | Statement: [Bautzen district, containsTown, Bernsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernsdorf
Context triple: [Bautzen district, containsTown, Bernsdorf]
  • A. Bernsdorf
    Bernsdorf is a locality within the town of Flöha in the Free State of Saxony, Germany.
  • B. Basdorf
    Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • C. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • D. Bohnsdorf
    Bohnsdorf is a residential locality in the southeastern part of Berlin, Germany, known for its suburban character and proximity to the city’s green and lake-rich areas.
  • E. Gremsdorf
    Gremsdorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, 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: Bernsdorf
Triple: [Bautzen district, containsTown, Bernsdorf]
Generated description
Bernsdorf is a small town in the Bautzen district of the German federal state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bernsdorf
Target entity description: Bernsdorf is a small town in the Bautzen district of the German federal state of Saxony.
  • A. Bernsdorf
    Bernsdorf is a locality within the town of Flöha in the Free State of Saxony, Germany.
  • B. Basdorf
    Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • C. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • D. Bohnsdorf
    Bohnsdorf is a residential locality in the southeastern part of Berlin, Germany, known for its suburban character and proximity to the city’s green and lake-rich areas.
  • E. Gremsdorf
    Gremsdorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563bd0688190b6f7a695be0a4625 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46b06688190a02fee3700efd709 completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe87a898881909848233ef3d508d2 completed May 10, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69ffe8b3cdec8190b29de77b4fd3ae87 completed May 10, 2026, 2:08 a.m.
Created at: April 10, 2026, 4:51 a.m.