Triple

T8713378
Position Surface form Disambiguated ID Type / Status
Subject Passau (district) E206834 entity
Predicate containsTown P847 FINISHED
Object Pocking
Pocking is a small town in southeastern Bavaria, Germany, known for its proximity to the Austrian border and the spa region around Bad Füssing.
E754921 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: Pocking | Statement: [Passau (district), containsTown, Pocking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pocking
Context triple: [Passau (district), containsTown, Pocking]
  • A. Oberwiesenthal
    Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
  • B. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • C. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • D. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • E. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • 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: Pocking
Triple: [Passau (district), containsTown, Pocking]
Generated description
Pocking is a small town in southeastern Bavaria, Germany, known for its proximity to the Austrian border and the spa region around Bad Füssing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pocking
Target entity description: Pocking is a small town in southeastern Bavaria, Germany, known for its proximity to the Austrian border and the spa region around Bad Füssing.
  • A. Oberwiesenthal
    Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
  • B. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • C. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • D. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • E. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf448b65a88190944689160e734866 completed April 3, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:35 p.m.