Triple

T20043591
Position Surface form Disambiguated ID Type / Status
Subject Rastatt district E497493 entity
Predicate contains P35 FINISHED
Object Hügelsheim
Hügelsheim is a small municipality in the state of Baden-Württemberg in southwestern Germany, located near the Rhine River and close to the French border.
E1439883 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: Hügelsheim | Statement: [Rastatt district, contains, Hügelsheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hügelsheim
Context triple: [Rastatt district, contains, Hügelsheim]
  • A. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • B. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • C. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern 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: Hügelsheim
Triple: [Rastatt district, contains, Hügelsheim]
Generated description
Hügelsheim is a small municipality in the state of Baden-Württemberg in southwestern Germany, located near the Rhine River and close to the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hügelsheim
Target entity description: Hügelsheim is a small municipality in the state of Baden-Württemberg in southwestern Germany, located near the Rhine River and close to the French border.
  • A. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • B. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • C. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ed59bc8190a9ff25493e500ebb completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3d1d0c081908edb5cbbe37057e2 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b51e41c08190a4fb6f8879998046 completed May 16, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08b61db7288190840ed6784a64673d completed May 16, 2026, 6:23 p.m.
Created at: April 11, 2026, 3:37 p.m.