Triple

T8797361
Position Surface form Disambiguated ID Type / Status
Subject Oberursel (Taunus) E209321 entity
Predicate twinTown P1072 FINISHED
Object Ursem
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
 E759608 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: Ursem | Statement: [Oberursel (Taunus), twinTown, Ursem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ursem
Context triple: [Oberursel (Taunus), twinTown, Ursem]
  • A. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Burkardroth
    Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
  • D. Adelmorn
    Adelmorn is the titular outlaw protagonist of the Gothic novel "Adelmorn the Outlaw," around whom the story’s adventures and conflicts revolve.
  • E. Helmold
    Helmold is a Germanic given name, historically used in medieval German-speaking regions and derived from elements meaning "helmet" or "protection" and "rule" or "power."
  • 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: Ursem
Triple: [Oberursel (Taunus), twinTown, Ursem]
Generated description
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ursem
Target entity description: Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • A. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Burkardroth
    Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
  • D. Adelmorn
    Adelmorn is the titular outlaw protagonist of the Gothic novel "Adelmorn the Outlaw," around whom the story’s adventures and conflicts revolve.
  • E. Helmold
    Helmold is a Germanic given name, historically used in medieval German-speaking regions and derived from elements meaning "helmet" or "protection" and "rule" or "power."
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.