Triple

T4028460
Position Surface form Disambiguated ID Type / Status
Subject The Archers E83648 entity
Predicate fictionalCounty P14481 FINISHED
Object Borsetshire
Borsetshire is the fictional English county that serves as the primary setting for the long-running BBC radio drama "The Archers."
 E409421 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: Borsetshire | Statement: [The Archers, fictionalCounty, Borsetshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borsetshire
Context triple: [The Archers, fictionalCounty, Borsetshire]
  • A. Buteshire
    Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
  • B. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • C. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • D. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • E. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • 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: Borsetshire
Triple: [The Archers, fictionalCounty, Borsetshire]
Generated description
Borsetshire is the fictional English county that serves as the primary setting for the long-running BBC radio drama "The Archers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borsetshire
Target entity description: Borsetshire is the fictional English county that serves as the primary setting for the long-running BBC radio drama "The Archers."
  • A. Buteshire
    Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
  • B. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • C. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • D. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • E. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf066b08190afbb4a18ddc8d67e completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556358f148190be7008092d0023af completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a5b292481908723530461bad562 completed March 14, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69b55ae09ac48190a014aaf5b309e029 completed March 14, 2026, 12:56 p.m.
Created at: March 9, 2026, 3:36 p.m.