Triple

T2422390
Position Surface form Disambiguated ID Type / Status
Subject Grimston E53446 entity
Predicate civilParishIncludes P852 FINISHED
Object Grimston village E53446 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: Grimston village | Statement: [Grimston, civilParishIncludes, Grimston village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grimston village
Context triple: [Grimston, civilParishIncludes, Grimston village]
  • A. Grimston chosen
    Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
  • B. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • C. Grindleford
    Grindleford is a village in the Derbyshire Peak District of England, known for its scenic countryside, walking trails, and proximity to popular climbing and hiking areas.
  • D. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • E. Scarrington
    Scarrington is a small rural village in Nottinghamshire, England, known for its traditional English countryside character and historic parish church.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc971093481909c8924d58187860c completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5b1bb8819095920d702c180d3f completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.