Triple

T7563033
Position Surface form Disambiguated ID Type / Status
Subject Malvern Hills District E178839 entity
Predicate contains P35 FINISHED
Object Welland
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
E677622 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: Welland | Statement: [Malvern Hills District, contains, Welland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welland
Context triple: [Malvern Hills District, contains, Welland]
  • A. Welland
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • B. Bowmanville
    Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
  • C. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • D. Alliston
    Alliston is a community in New Tecumseth, Ontario, Canada, known historically as the birthplace of insulin co-discoverer Sir Frederick Banting.
  • E. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • 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: Welland
Triple: [Malvern Hills District, contains, Welland]
Generated description
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Welland
Target entity description: Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
  • A. Welland
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • B. Bowmanville
    Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
  • C. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • D. Alliston
    Alliston is a community in New Tecumseth, Ontario, Canada, known historically as the birthplace of insulin co-discoverer Sir Frederick Banting.
  • E. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fb1c00819096bdb73334d8d72e completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870780d24819095196cd3a22bec5a completed March 29, 2026, 12:21 a.m.
NEDg Description generation batch_69c8725e42a481909bf442987fca3a8c completed March 29, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69c872f89ff08190809d476ae6809488 completed March 29, 2026, 12:31 a.m.
Created at: March 27, 2026, 3:50 p.m.