Triple

T5019989
Position Surface form Disambiguated ID Type / Status
Subject Cornwall E112827 entity
Predicate containsSettlement P847 FINISHED
Object Polperro
Polperro is a picturesque historic fishing village and popular tourist destination on the south coast of Cornwall, England.
E485758 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: Polperro | Statement: [Cornwall, containsSettlement, Polperro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polperro
Context triple: [Cornwall, containsSettlement, Polperro]
  • A. Shetland sheepdog
    The Shetland sheepdog is a small, intelligent herding dog breed resembling a miniature Rough Collie, known for its agility, trainability, and long double coat.
  • B. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • C. Letheringsett
    Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
  • D. Pug
    Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
  • E. Little Tew
    Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
  • 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: Polperro
Triple: [Cornwall, containsSettlement, Polperro]
Generated description
Polperro is a picturesque historic fishing village and popular tourist destination on the south coast of Cornwall, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Polperro
Target entity description: Polperro is a picturesque historic fishing village and popular tourist destination on the south coast of Cornwall, England.
  • A. Shetland sheepdog
    The Shetland sheepdog is a small, intelligent herding dog breed resembling a miniature Rough Collie, known for its agility, trainability, and long double coat.
  • B. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • C. Letheringsett
    Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
  • D. Pug
    Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
  • E. Little Tew
    Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be92e7304081909747a34dff7f9e25 completed March 21, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69be935872a88190adec17789298e01a completed March 21, 2026, 12:47 p.m.
Created at: March 20, 2026, 1:36 p.m.