Triple

T4445753
Position Surface form Disambiguated ID Type / Status
Subject Wadern E96280 entity
Predicate hasSubdivision P747 FINISHED
Object Nunkirchen
Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
E445284 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: Nunkirchen | Statement: [Wadern, hasSubdivision, Nunkirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nunkirchen
Context triple: [Wadern, hasSubdivision, Nunkirchen]
  • A. Oberkirch
    Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
  • B. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • C. Messkirch
    Messkirch is a small town in southwestern Germany best known as the birthplace of philosopher Martin Heidegger.
  • D. Kuppenheim
    Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
  • E. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • 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: Nunkirchen
Triple: [Wadern, hasSubdivision, Nunkirchen]
Generated description
Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nunkirchen
Target entity description: Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • A. Oberkirch
    Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
  • B. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • C. Messkirch
    Messkirch is a small town in southwestern Germany best known as the birthplace of philosopher Martin Heidegger.
  • D. Kuppenheim
    Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
  • E. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67baa14648190811970a45dd0d185 completed March 15, 2026, 9:28 a.m.
NEDg Description generation batch_69b67ffd42908190b6b0b79d12266fa6 completed March 15, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69b680db60ec81909a58427ab7be15d7 completed March 15, 2026, 9:50 a.m.
Created at: March 12, 2026, 11:32 p.m.