Triple

T2801562
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Cavendish
Cavendish is a picturesque village and civil parish in Suffolk, England, noted for its historic thatched cottages and traditional English countryside charm.
E299732 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: Cavendish | Statement: [Suffolk, England, containsSettlement, Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavendish
Context triple: [Suffolk, England, containsSettlement, Cavendish]
  • A. Cavendish
    Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • B. Cavendish
    Cavendish is a prominent English aristocratic family historically influential in politics, science, and society, associated with figures such as scientists Henry and William Cavendish and the Dukes of Devonshire.
  • C. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • D. Rutherford
    Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
  • E. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • 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: Cavendish
Triple: [Suffolk, England, containsSettlement, Cavendish]
Generated description
Cavendish is a picturesque village and civil parish in Suffolk, England, noted for its historic thatched cottages and traditional English countryside charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cavendish
Target entity description: Cavendish is a picturesque village and civil parish in Suffolk, England, noted for its historic thatched cottages and traditional English countryside charm.
  • A. Cavendish
    Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • B. Cavendish
    Cavendish is a prominent English aristocratic family historically influential in politics, science, and society, associated with figures such as scientists Henry and William Cavendish and the Dukes of Devonshire.
  • C. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • D. Rutherford
    Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
  • E. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • 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.