Triple

T12877897
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Gröditz
Gröditz is a small industrial town in the German state of Saxony, known historically for its steel production.
E1006492 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: Gröditz | Statement: [Leipzig metropolitan region, containsCity, Gröditz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gröditz
Context triple: [Leipzig metropolitan region, containsCity, Gröditz]
  • A. Gorlice
    Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
  • B. Pölbitz
    Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
  • C. Jachenau
    Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
  • D. Wechmar
    Wechmar is a village in Thuringia, Germany, historically notable as the ancestral home of the Bach musical family.
  • E. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered 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: Gröditz
Triple: [Leipzig metropolitan region, containsCity, Gröditz]
Generated description
Gröditz is a small industrial town in the German state of Saxony, known historically for its steel production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gröditz
Target entity description: Gröditz is a small industrial town in the German state of Saxony, known historically for its steel production.
  • A. Gorlice
    Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
  • B. Pölbitz
    Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
  • C. Jachenau
    Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
  • D. Wechmar
    Wechmar is a village in Thuringia, Germany, historically notable as the ancestral home of the Bach musical family.
  • E. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69cc6fa84819093a4317ab355f62b completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.