Triple

T19876980
Position Surface form Disambiguated ID Type / Status
Subject Little D E477663 entity
Predicate shortFormOf P43 FINISHED
Object Little Denton
Little Denton is a small settlement or locality, likely a village or hamlet, whose full name is used formally while "Little D" serves as its informal short form.
 E1399859 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: Little Denton | Statement: [Little D, shortFormOf, Little Denton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Denton
Context triple: [Little D, shortFormOf, Little Denton]
  • A. Hilliardton
    Hilliardton is a small rural community located in the Timiskaming District of northeastern Ontario, Canada.
  • B. Storeton
    Storeton is a small village on the Wirral Peninsula in Merseyside, England, known historically for its sandstone quarries and rural character.
  • C. Dunton
    Dunton is a major automotive engineering and design center in the United Kingdom, best known as Ford of Europe’s primary research and development facility.
  • D. Lingdale
    Lingdale is a small village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
  • E. Denston
    Denston is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • 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: Little Denton
Triple: [Little D, shortFormOf, Little Denton]
Generated description
Little Denton is a small settlement or locality, likely a village or hamlet, whose full name is used formally while "Little D" serves as its informal short form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Denton
Target entity description: Little Denton is a small settlement or locality, likely a village or hamlet, whose full name is used formally while "Little D" serves as its informal short form.
  • A. Hilliardton
    Hilliardton is a small rural community located in the Timiskaming District of northeastern Ontario, Canada.
  • B. Storeton
    Storeton is a small village on the Wirral Peninsula in Merseyside, England, known historically for its sandstone quarries and rural character.
  • C. Dunton
    Dunton is a major automotive engineering and design center in the United Kingdom, best known as Ford of Europe’s primary research and development facility.
  • D. Lingdale
    Lingdale is a small village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
  • E. Denston
    Denston is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc82f0881909556c54b8ce3533f completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:52 p.m.