Triple

T16213519
Position Surface form Disambiguated ID Type / Status
Subject Creutzwald E393524 entity
Predicate neighbouringCommune P33892 FINISHED
Object Varsberg
Varsberg is a small commune in the Moselle department of northeastern France, situated near the town of Creutzwald.
E1200214 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: Varsberg | Statement: [Creutzwald, neighbouringCommune, Varsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varsberg
Context triple: [Creutzwald, neighbouringCommune, Varsberg]
  • A. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • B. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • C. Gamsberg
    Gamsberg is a prominent mountain in Namibia known for its flat-topped summit and exceptionally clear skies that make it a favored site for astronomical observations.
  • D. Altlandsberg
    Altlandsberg is a small historic town in the Märkisch-Oderland district of Brandenburg, Germany, located just east of Berlin.
  • E. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • 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: Varsberg
Triple: [Creutzwald, neighbouringCommune, Varsberg]
Generated description
Varsberg is a small commune in the Moselle department of northeastern France, situated near the town of Creutzwald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Varsberg
Target entity description: Varsberg is a small commune in the Moselle department of northeastern France, situated near the town of Creutzwald.
  • A. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • B. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • C. Gamsberg
    Gamsberg is a prominent mountain in Namibia known for its flat-topped summit and exceptionally clear skies that make it a favored site for astronomical observations.
  • D. Altlandsberg
    Altlandsberg is a small historic town in the Märkisch-Oderland district of Brandenburg, Germany, located just east of Berlin.
  • E. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f393e08190be93400d754f0a2d completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00084d8e308190bd90811392586753 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.