Triple

T1753427
Position Surface form Disambiguated ID Type / Status
Subject North Yorkshire E38497 entity
Predicate contains P35 FINISHED
Object Filey
Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
E197003 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: Filey | Statement: [North Yorkshire, contains, Filey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filey
Context triple: [North Yorkshire, contains, Filey]
  • A. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • D. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • 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: Filey
Triple: [North Yorkshire, contains, Filey]
Generated description
Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Filey
Target entity description: Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
  • A. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • D. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2fb9481909d9ed587921ca6b6 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada4e28830819082ed7facee14587f completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:31 p.m.