Triple

T3288725
Position Surface form Disambiguated ID Type / Status
Subject Kingston E69047 entity
Predicate hasVariantSpelling P457 FINISHED
Object Kingstone
Kingstone is an alternative spelling of Kingston, a name commonly associated with various towns, cities, and geographic locations worldwide.
 E131376 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: Kingstone | Statement: [Kingston, hasVariantSpelling, Kingstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingstone
Context triple: [Kingston, hasVariantSpelling, Kingstone]
  • A. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • B. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • C. Gilston
    Gilston is a small village in Hertfordshire, England, situated near the town of Harlow and known for its rural character and planned large-scale housing developments.
  • D. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • E. Kings Hill
    Kings Hill is a modern, planned residential and business community in Kent, England, developed on the site of a former airfield and known for its mixed-use facilities and commuter links.
  • 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: Kingstone
Triple: [Kingston, hasVariantSpelling, Kingstone]
Generated description
Kingstone is an alternative spelling of Kingston, a name commonly associated with various towns, cities, and geographic locations worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingstone
Target entity description: Kingstone is an alternative spelling of Kingston, a name commonly associated with various towns, cities, and geographic locations worldwide.
  • A. King’s Town chosen
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • B. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • C. Gilston
    Gilston is a small village in Hertfordshire, England, situated near the town of Harlow and known for its rural character and planned large-scale housing developments.
  • D. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • E. Kings Hill
    Kings Hill is a modern, planned residential and business community in Kent, England, developed on the site of a former airfield and known for its mixed-use facilities and commuter links.
  • F. None of above.

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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05a3e5c819082552a7a911e3230 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e862835881909c2f3b8f86f10742 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8f6a7c48190bc457f348c3a7179 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e986dcc88190bd3daa6c6fdcb50e completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:10 p.m.