Triple

T8687918
Position Surface form Disambiguated ID Type / Status
Subject Ammer E206209 entity
Predicate flowsThrough P225 FINISHED
Object Peißenberg
Peißenberg is a municipality in Bavaria, Germany, situated in the foothills of the Alps and known for its former coal mining industry and scenic rural surroundings.
E772324 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: Peißenberg | Statement: [Ammer, flowsThrough, Peißenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peißenberg
Context triple: [Ammer, flowsThrough, Peißenberg]
  • A. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • B. Oberschwarzach
    Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Bergrheinfeld
    Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
  • D. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • E. Meisenbühl
    Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
  • 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: Peißenberg
Triple: [Ammer, flowsThrough, Peißenberg]
Generated description
Peißenberg is a municipality in Bavaria, Germany, situated in the foothills of the Alps and known for its former coal mining industry and scenic rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peißenberg
Target entity description: Peißenberg is a municipality in Bavaria, Germany, situated in the foothills of the Alps and known for its former coal mining industry and scenic rural surroundings.
  • A. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • B. Oberschwarzach
    Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Bergrheinfeld
    Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
  • D. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • E. Meisenbühl
    Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5731cf08819082e0cbe0975b70bb completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7875448190a2478cbb623c31e6 completed April 3, 2026, 3:23 p.m.
NEDg Description generation batch_69cfdc384884819083334642471c274a completed April 3, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69cfdc99a59c8190b509f66fa656bd77 completed April 3, 2026, 3:28 p.m.
Created at: March 30, 2026, 6:33 p.m.