Triple

T2801653
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Kersey
Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
 E299758 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: Kersey | Statement: [Suffolk, England, containsSettlement, Kersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kersey
Context triple: [Suffolk, England, containsSettlement, Kersey]
  • 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. Westland
    Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
  • C. Westland
    Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
  • D. Norfuk
    Norfuk is a creole language spoken on Norfolk Island that blends 18th-century English with Tahitian influences and reflects the island’s unique Pitcairn settler heritage.
  • E. Sandys
    Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
  • 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: Kersey
Triple: [Suffolk, England, containsSettlement, Kersey]
Generated description
Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kersey
Target entity description: Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
  • 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. Westland
    Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
  • C. Westland
    Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
  • D. Norfuk
    Norfuk is a creole language spoken on Norfolk Island that blends 18th-century English with Tahitian influences and reflects the island’s unique Pitcairn settler heritage.
  • E. Sandys
    Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde1117148190b0c98f906f1c872e completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66d1e488190a4b85decfb38097f completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc8b12b848190ad514eed2d26a90f completed March 10, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69afc9413e1881908fc091b98913e1cf completed March 10, 2026, 7:33 a.m.
Created at: March 6, 2026, 9:58 p.m.