Triple

T10541599
Position Surface form Disambiguated ID Type / Status
Subject Kronach district E248706 entity
Predicate contains P35 FINISHED
Object Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
E904835 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: Teuschnitz | Statement: [Kronach district, contains, Teuschnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teuschnitz
Context triple: [Kronach district, contains, Teuschnitz]
  • A. Lommatzsch
    Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
  • B. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • C. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • D. Gadebusch
    Gadebusch is a small historic town in northern Germany known for its medieval architecture and rural surroundings.
  • E. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • 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: Teuschnitz
Triple: [Kronach district, contains, Teuschnitz]
Generated description
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teuschnitz
Target entity description: Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
  • A. Lommatzsch
    Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
  • B. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • C. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • D. Gadebusch
    Gadebusch is a small historic town in northern Germany known for its medieval architecture and rural surroundings.
  • E. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6afdf0c8190924cb14512a89ee8 completed April 18, 2026, 8:16 p.m.
NEDg Description generation batch_69e3f01f9d048190b553184f0f6ce29c completed April 18, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69e3f3fef9308190b0354ed436c32e4c completed April 18, 2026, 9:13 p.m.
Created at: April 6, 2026, 12:32 p.m.