Triple

T9164265
Position Surface form Disambiguated ID Type / Status
Subject Weißenfels district E219906 entity
Predicate hasMunicipality P847 FINISHED
Object Langendorf
Langendorf is a municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
E800331 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: Langendorf | Statement: [Weißenfels district, hasMunicipality, Langendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langendorf
Context triple: [Weißenfels district, hasMunicipality, Langendorf]
  • A. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • B. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • C. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • D. Wietzendorf
    Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
  • E. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • 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: Langendorf
Triple: [Weißenfels district, hasMunicipality, Langendorf]
Generated description
Langendorf is a municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langendorf
Target entity description: Langendorf is a municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
  • A. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • B. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • C. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • D. Wietzendorf
    Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
  • E. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ee64c8190a9a5abafe5d0b086 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d121eb1c9881908aebf9e1dab72457 completed April 4, 2026, 2:36 p.m.
NEDg Description generation batch_69d1231adb4481908fac11cae099d0de completed April 4, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69d123fcc8f48190838abd08a4af0a63 completed April 4, 2026, 2:45 p.m.
Created at: March 30, 2026, 7:21 p.m.