Triple

T2801535
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Mendlesham
Mendlesham is a rural village and civil parish in Suffolk, England, known for its historic church and traditional village character.
E301432 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: Mendlesham | Statement: [Suffolk, England, containsSettlement, Mendlesham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendlesham
Context triple: [Suffolk, England, containsSettlement, Mendlesham]
  • A. Stalham
    Stalham is a small market town in Norfolk, England, known as a gateway to the Norfolk Broads.
  • B. Mundesley
    Mundesley is a coastal village and seaside resort on the North Sea in Norfolk, England, known for its sandy beaches and traditional holiday atmosphere.
  • C. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • D. Balsham
    Balsham is a rural village and civil parish in Cambridgeshire, England, known for its historic church and traditional English countryside setting.
  • E. Framlingham
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • 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: Mendlesham
Triple: [Suffolk, England, containsSettlement, Mendlesham]
Generated description
Mendlesham is a rural village and civil parish in Suffolk, England, known for its historic church and traditional village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mendlesham
Target entity description: Mendlesham is a rural village and civil parish in Suffolk, England, known for its historic church and traditional village character.
  • A. Stalham
    Stalham is a small market town in Norfolk, England, known as a gateway to the Norfolk Broads.
  • B. Mundesley
    Mundesley is a coastal village and seaside resort on the North Sea in Norfolk, England, known for its sandy beaches and traditional holiday atmosphere.
  • C. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • D. Balsham
    Balsham is a rural village and civil parish in Cambridgeshire, England, known for its historic church and traditional English countryside setting.
  • E. Framlingham
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • 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_69afce92b40c8190a6ed3e6c06f15c79 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf3aa64081909fe4007d94df48c2 completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcfe8a140819095daa37d539e4c72 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:58 p.m.