Triple

T4314312
Position Surface form Disambiguated ID Type / Status
Subject Rhön E94149 entity
Predicate hasSettlement P1068 FINISHED
Object Hilders
Hilders is a small town in the Rhön Mountains of central Germany, known for its scenic landscapes and outdoor recreation opportunities.
 E430391 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: Hilders | Statement: [Rhön, hasSettlement, Hilders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hilders
Context triple: [Rhön, hasSettlement, Hilders]
  • A. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • B. Haugesunder
    A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • C. Horning
    Horning is a picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • D. Hillend
    Hillend is a small settlement in Fife, Scotland, situated near the coastal town of Dalgety Bay.
  • E. Laleham
    Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
  • 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: Hilders
Triple: [Rhön, hasSettlement, Hilders]
Generated description
Hilders is a small town in the Rhön Mountains of central Germany, known for its scenic landscapes and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hilders
Target entity description: Hilders is a small town in the Rhön Mountains of central Germany, known for its scenic landscapes and outdoor recreation opportunities.
  • A. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • B. Haugesunder
    A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • C. Horning
    Horning is a picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • D. Hillend
    Hillend is a small settlement in Fife, Scotland, situated near the coastal town of Dalgety Bay.
  • E. Laleham
    Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07e7a288190b1fcd0075d14cd11 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d0f6d1d48190a3ecd1765043ac58 completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d18381288190948a7a0c42dc8cbf completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:12 p.m.