Triple

T5814670
Position Surface form Disambiguated ID Type / Status
Subject Knutsford E128954 entity
Predicate hasNearbyEstate P28403 FINISHED
Object Toft
Toft is a rural estate and small settlement in Cheshire, England, known for its historic hall and proximity to the town of Knutsford.
 E547022 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: Toft | Statement: [Knutsford, hasNearbyEstate, Toft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toft
Context triple: [Knutsford, hasNearbyEstate, Toft]
  • A. Toft
    Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
  • B. Toftir
    Toftir is a village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and local football culture.
  • C. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • D. Nesodden
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • E. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • 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: Toft
Triple: [Knutsford, hasNearbyEstate, Toft]
Generated description
Toft is a rural estate and small settlement in Cheshire, England, known for its historic hall and proximity to the town of Knutsford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toft
Target entity description: Toft is a rural estate and small settlement in Cheshire, England, known for its historic hall and proximity to the town of Knutsford.
  • A. Toft
    Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
  • B. Toftir
    Toftir is a village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and local football culture.
  • C. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • D. Nesodden
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • E. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03361c79081908baf872821e79983 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098d889e08190adbd12504a7f3fa1 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0999358248190b6ade63ded2eaa56 completed March 23, 2026, 1:38 a.m.
Created at: March 22, 2026, 3:53 p.m.