Triple

T23085787
Position Surface form Disambiguated ID Type / Status
Subject Great Sheffield Flood of 1864 E575593 entity
Predicate flooded P34423 FINISHED
Object Loxley
Loxley is a village and valley on the outskirts of Sheffield, England, historically known for its industrial heritage and scenic rural landscape.
E1569840 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: Loxley | Statement: [Great Sheffield Flood of 1864, flooded, Loxley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loxley
Context triple: [Great Sheffield Flood of 1864, flooded, Loxley]
  • A. Laceby
    Laceby is a village and civil parish in North East Lincolnshire, England, situated near the town of Grimsby.
  • B. Offley
    Offley is a village and civil parish in Hertfordshire, England, known for its rural character and historic buildings.
  • C. Lozells
    Lozells is a densely populated, ethnically diverse inner-city district of Birmingham, England, known for its vibrant community and urban character.
  • D. Fazeley
    Fazeley is a small town in Staffordshire, England, known for its historic canals and proximity to the town of Tamworth.
  • E. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • 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: Loxley
Triple: [Great Sheffield Flood of 1864, flooded, Loxley]
Generated description
Loxley is a village and valley on the outskirts of Sheffield, England, historically known for its industrial heritage and scenic rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loxley
Target entity description: Loxley is a village and valley on the outskirts of Sheffield, England, historically known for its industrial heritage and scenic rural landscape.
  • A. Laceby
    Laceby is a village and civil parish in North East Lincolnshire, England, situated near the town of Grimsby.
  • B. Offley
    Offley is a village and civil parish in Hertfordshire, England, known for its rural character and historic buildings.
  • C. Lozells
    Lozells is a densely populated, ethnically diverse inner-city district of Birmingham, England, known for its vibrant community and urban character.
  • D. Fazeley
    Fazeley is a small town in Staffordshire, England, known for its historic canals and proximity to the town of Tamworth.
  • E. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da573588190a8e0c859667e64a6 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b27e24819098404554c6097105 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c16ad0b7c8190bde9d5e8ba0efb5b completed May 19, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c17da6a108190b37d1e69e6f24e00 completed May 19, 2026, 7:57 a.m.
Created at: April 17, 2026, 3:57 p.m.