Triple

T12616462
Position Surface form Disambiguated ID Type / Status
Subject Duke of Dover E301266 entity
Predicate seatAssociatedWith P16984 FINISHED
Object Kent
Kent is a historic county in southeastern England, often called the "Garden of England," known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
 E5977 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: Kent | Statement: [Duke of Dover, seatAssociatedWith, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kent
Context triple: [Duke of Dover, seatAssociatedWith, Kent]
  • A. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • B. Kent
    Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
  • C. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • D. Kent
    Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
  • E. Kent
    Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
  • 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: Kent
Triple: [Duke of Dover, seatAssociatedWith, Kent]
Generated description
Kent is a historic county in southeastern England, often called the "Garden of England," known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kent
Target entity description: Kent is a historic county in southeastern England, often called the "Garden of England," known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
  • A. Kent chosen
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • B. Kent
    Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
  • C. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • D. Kent
    Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
  • E. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb317148190990d47f50324a1b1 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fb03b248190b264230b84b17635 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 9, 2026, 5:12 p.m.