Triple

T20667831
Position Surface form Disambiguated ID Type / Status
Subject Freising district E507938 entity
Predicate contains P35 FINISHED
Object Paunzhausen
Paunzhausen is a small municipality in the Upper Bavarian region of Germany, situated within the administrative area north of Munich.
E1465715 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: Paunzhausen | Statement: [Freising district, contains, Paunzhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paunzhausen
Context triple: [Freising district, contains, Paunzhausen]
  • A. Wolpertshausen
    Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Harthausen
    Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
  • D. Pfaffenberg
    Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
  • E. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in 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: Paunzhausen
Triple: [Freising district, contains, Paunzhausen]
Generated description
Paunzhausen is a small municipality in the Upper Bavarian region of Germany, situated within the administrative area north of Munich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paunzhausen
Target entity description: Paunzhausen is a small municipality in the Upper Bavarian region of Germany, situated within the administrative area north of Munich.
  • A. Wolpertshausen
    Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Harthausen
    Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
  • D. Pfaffenberg
    Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
  • E. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a095a3e3f448190b06f8d189fb7dfc5 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095ab1e4e08190ac86e53ccee269f3 completed May 17, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 16, 2026, 11:44 a.m.