Triple

T7239115
Position Surface form Disambiguated ID Type / Status
Subject Genthin E155308 entity
Predicate hasSubdivision P747 FINISHED
Object Schopsdorf
Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
E685276 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: Schopsdorf | Statement: [Genthin, hasSubdivision, Schopsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schopsdorf
Context triple: [Genthin, hasSubdivision, Schopsdorf]
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • C. Plittersdorf
    Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Seubelsdorf
    Seubelsdorf is a village that forms one of the local subdivisions of the town of Lichtenfels in Bavaria, Germany.
  • 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: Schopsdorf
Triple: [Genthin, hasSubdivision, Schopsdorf]
Generated description
Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schopsdorf
Target entity description: Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • C. Plittersdorf
    Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Seubelsdorf
    Seubelsdorf is a village that forms one of the local subdivisions of the town of Lichtenfels in Bavaria, Germany.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4de5bc08190a569701311631bd3 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8bb0d411881909cf49d1ccc59d9b7 completed March 29, 2026, 5:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8bb5eeb3c81908b08a6396e8a01ab completed March 29, 2026, 5:40 a.m.
Created at: March 27, 2026, 2:55 p.m.