Triple

T995198
Position Surface form Disambiguated ID Type / Status
Subject Manchester–Chester line E21479 entity
Predicate via P5680 FINISHED
Object Cuddington
Cuddington is a village in Cheshire, England, served by a station on the Manchester–Chester railway line.
 E135533 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: Cuddington | Statement: [Manchester–Chester line, via, Cuddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cuddington
Context triple: [Manchester–Chester line, via, Cuddington]
  • A. Gravenhurst
    Gravenhurst is a small town in Ontario, Canada, known as a gateway to the Muskoka cottage country and its scenic lakeside tourism.
  • B. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • C. Freeland
    Freeland is a small rural village located within the district of West Oxfordshire in England.
  • D. Lovedale
    Lovedale is a rural locality in the Hunter Valley region of New South Wales, Australia, known for its vineyards, wineries, and boutique accommodation.
  • E. Granton
    Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
  • 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: Cuddington
Triple: [Manchester–Chester line, via, Cuddington]
Generated description
Cuddington is a village in Cheshire, England, served by a station on the Manchester–Chester railway line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cuddington
Target entity description: Cuddington is a village in Cheshire, England, served by a station on the Manchester–Chester railway line.
  • A. Gravenhurst
    Gravenhurst is a small town in Ontario, Canada, known as a gateway to the Muskoka cottage country and its scenic lakeside tourism.
  • B. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • C. Freeland
    Freeland is a small rural village located within the district of West Oxfordshire in England.
  • D. Lovedale
    Lovedale is a rural locality in the Hunter Valley region of New South Wales, Australia, known for its vineyards, wineries, and boutique accommodation.
  • E. Granton
    Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f0503ec81908112cf30ca85530a completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac7185ea608190802a87f75273f8b7 completed March 7, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac71c5266c819086647d47b9fb73dc completed March 7, 2026, 6:43 p.m.
Created at: March 1, 2026, 7:41 p.m.