Triple

T20098976
Position Surface form Disambiguated ID Type / Status
Subject Zollernalbkreis E496480 entity
Predicate contains P35 FINISHED
Object Gosheim
Gosheim is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany, situated in the Swabian Jura.
E1447892 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: Gosheim | Statement: [Zollernalbkreis, contains, Gosheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gosheim
Context triple: [Zollernalbkreis, contains, Gosheim]
  • A. Gosheim
    Gosheim is a municipality in the Tuttlingen district of Baden-Württemberg, Germany, situated in the Swabian Jura region.
  • B. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • D. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • E. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • 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: Gosheim
Triple: [Zollernalbkreis, contains, Gosheim]
Generated description
Gosheim is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany, situated in the Swabian Jura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gosheim
Target entity description: Gosheim is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany, situated in the Swabian Jura.
  • A. Gosheim
    Gosheim is a municipality in the Tuttlingen district of Baden-Württemberg, Germany, situated in the Swabian Jura region.
  • B. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • D. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8202e748190a043ac51dc8faa01 completed May 16, 2026, 9:56 p.m.
NEDg Description generation batch_6a08e88b1e1c8190a02a52e50470ce79 completed May 16, 2026, 9:58 p.m.
NED2 Entity disambiguation (via description) batch_6a08e923a134819082e8d677c420f8ce completed May 16, 2026, 10:01 p.m.
Created at: April 11, 2026, 11:26 p.m.