Triple

T941780
Position Surface form Disambiguated ID Type / Status
Subject Cherkley Court E20321 entity
Predicate nearbySettlement P350 FINISHED
Object Leatherhead E17307 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: Leatherhead | Statement: [Cherkley Court, nearbySettlement, Leatherhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leatherhead
Context triple: [Cherkley Court, nearbySettlement, Leatherhead]
  • A. Leatherhead chosen
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • B. The Lyons
    The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
  • C. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • D. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • E. The Pantiles
    The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd569a4819082687be40145331e completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:40 p.m.