Triple

T9868323
Position Surface form Disambiguated ID Type / Status
Subject Braunfels E239890 entity
Predicate hasSubdivision P747 FINISHED
Object Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
E847875 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: Neukirchen | Statement: [Braunfels, hasSubdivision, Neukirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neukirchen
Context triple: [Braunfels, hasSubdivision, Neukirchen]
  • A. Neukirchen
    Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • B. Unterneukirchen
    Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
  • C. Nunkirchen
    Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Lorenzkirch
    Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
  • 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: Neukirchen
Triple: [Braunfels, hasSubdivision, Neukirchen]
Generated description
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neukirchen
Target entity description: Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
  • A. Neukirchen
    Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • B. Unterneukirchen
    Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
  • C. Nunkirchen
    Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Lorenzkirch
    Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d34e4c81908c0fc14dd6d015cc completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a5921c8819085a2188805b4811c completed April 6, 2026, 3:36 a.m.
NEDg Description generation batch_69d32b4030d0819092f13e894dbaa2e7 completed April 6, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69d32b97b5a081908c6e1a6485e37816 completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 8:36 p.m.