Triple

T4746130
Position Surface form Disambiguated ID Type / Status
Subject Broadstairs E105362 entity
Predicate region P40 FINISHED
Object Thanet E226268 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: Thanet | Statement: [Broadstairs, region, Thanet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanet
Context triple: [Broadstairs, region, Thanet]
  • A. Thanet chosen
    Thanet is a district on the eastern tip of Kent in southeast England, known for its coastal towns, maritime heritage, and seaside tourism.
  • B. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • C. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • D. Sandys
    Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
  • E. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ab946481909eccdb3e8c5d1f6a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b24440819081f3932eb6b68b48 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.