Triple

T3089562
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Long Melford E299693 NE FINISHED

How this triple was built (2 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: Long Melford | Statement: [Suffolk, containsSettlement, Long Melford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Melford
Context triple: [Suffolk, containsSettlement, Long Melford]
  • A. Long Melford chosen
    Long Melford is a historic village in Suffolk, England, noted for its exceptionally long main street, medieval wool trade heritage, and well-preserved timber-framed buildings.
  • B. Glemsford
    Glemsford is a village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural character.
  • C. Mendlesham
    Mendlesham is a rural village and civil parish in Suffolk, England, known for its historic church and traditional village character.
  • D. Bramford
    Bramford is a village and civil parish located near Ipswich in the county of Suffolk, England.
  • E. Boxford
    Boxford is a village and civil parish in Suffolk, England, known for its historic buildings and rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.