Triple

T1088272
Position Surface form Disambiguated ID Type / Status
Subject Lincolnshire E24101 entity
Predicate contains P35 FINISHED
Object Grantham E34326 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: Grantham | Statement: [Lincolnshire, contains, Grantham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grantham
Context triple: [Lincolnshire, contains, Grantham]
  • A. Grantham chosen
    Grantham is a market town in Lincolnshire, England, known historically as an important commercial and transport hub and as the birthplace of former Prime Minister Margaret Thatcher.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Chicksands
    Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
  • D. Grantham House
    Grantham House is a historic country residence and notable heritage building located in the market town of Grantham, Lincolnshire, England.
  • E. 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.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce55b5748190b54b8205a735ae89 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:42 p.m.