Triple

T3089819
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Ilketshall St Margaret
Ilketshall St Margaret is a small rural village and civil parish located in the county of Suffolk in eastern England.
E330438 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: Ilketshall St Margaret | Statement: [Suffolk, containsSettlement, Ilketshall St Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilketshall St Margaret
Context triple: [Suffolk, containsSettlement, Ilketshall St Margaret]
  • A. Ilketshall St John
    Ilketshall St John is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • B. Ilketshall St Lawrence
    Ilketshall St Lawrence is a small rural village and civil parish in the English county of Suffolk.
  • C. St Margarets
    St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
  • D. Ilketshall St Andrew
    Ilketshall St Andrew is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • E. St Margaret Pattens church
    St Margaret Pattens church is a historic Anglican church in the City of London, noted for its distinctive spire and association with the worship of the city’s livery companies.
  • 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: Ilketshall St Margaret
Triple: [Suffolk, containsSettlement, Ilketshall St Margaret]
Generated description
Ilketshall St Margaret is a small rural village and civil parish located in the county of Suffolk in eastern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ilketshall St Margaret
Target entity description: Ilketshall St Margaret is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • A. Ilketshall St John
    Ilketshall St John is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • B. Ilketshall St Lawrence
    Ilketshall St Lawrence is a small rural village and civil parish in the English county of Suffolk.
  • C. St Margarets
    St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
  • D. Ilketshall St Andrew
    Ilketshall St Andrew is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • E. St Margaret Pattens church
    St Margaret Pattens church is a historic Anglican church in the City of London, noted for its distinctive spire and association with the worship of the city’s livery companies.
  • 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_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_69b20f4dc9d481908b64d2d2bca0381a completed March 12, 2026, 12:56 a.m.
NEDg Description generation batch_69b2102e35b08190ad9ca397f0c937da completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b21458b07081909d75886e0d9f88e9 completed March 12, 2026, 1:18 a.m.
Created at: March 8, 2026, 3:03 p.m.