Triple

T6713011
Position Surface form Disambiguated ID Type / Status
Subject Kerpen E153193 entity
Predicate hasSubdivision P747 FINISHED
Object Horrem
Horrem is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
 E613495 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: Horrem | Statement: [Kerpen, hasSubdivision, Horrem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horrem
Context triple: [Kerpen, hasSubdivision, Horrem]
  • A. Hertevin
    Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
  • B. Holtemme
    The Holtemme is a small river in the Harz region of Saxony-Anhalt, Germany, flowing through towns such as Wernigerode before joining the Bode.
  • C. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • D. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • E. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • 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: Horrem
Triple: [Kerpen, hasSubdivision, Horrem]
Generated description
Horrem is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horrem
Target entity description: Horrem is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
  • A. Hertevin
    Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
  • B. Holtemme
    The Holtemme is a small river in the Harz region of Saxony-Anhalt, Germany, flowing through towns such as Wernigerode before joining the Bode.
  • C. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • D. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • E. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d121a92c8190a03f384a8aba84da completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700948788819087f9b466be337286 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c703ad7e0c81908da32c96806f3b07 completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7042f23408190b06faafcb3251276 completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 2:07 p.m.