Triple

T14198660
Position Surface form Disambiguated ID Type / Status
Subject Bingen am Rhein E351906 entity
Predicate hasSubdivision P747 FINISHED
Object Gaulsheim
Gaulsheim is a district of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
E1088653 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: Gaulsheim | Statement: [Bingen am Rhein, hasSubdivision, Gaulsheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaulsheim
Context triple: [Bingen am Rhein, hasSubdivision, Gaulsheim]
  • A. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • B. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • C. Dromersheim
    Dromersheim is a village-sized district of the town of Bingen am Rhein in the German state of Rhineland-Palatinate.
  • D. Gemmenich
    Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
  • E. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • 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: Gaulsheim
Triple: [Bingen am Rhein, hasSubdivision, Gaulsheim]
Generated description
Gaulsheim is a district of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gaulsheim
Target entity description: Gaulsheim is a district of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
  • A. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • B. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • C. Dromersheim
    Dromersheim is a village-sized district of the town of Bingen am Rhein in the German state of Rhineland-Palatinate.
  • D. Gemmenich
    Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
  • E. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b3ae0c0819089bdc277d66b20ae completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2f51a2cc81908b222a1830e2c8e4 completed May 8, 2026, 12:33 a.m.
Created at: April 10, 2026, 1:04 a.m.