Triple

T14077553
Position Surface form Disambiguated ID Type / Status
Subject Mereworth E338776 entity
Predicate locatedNear P294 FINISHED
Object Wateringbury E1077168 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: Wateringbury | Statement: [Mereworth, locatedNear, Wateringbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wateringbury
Context triple: [Mereworth, locatedNear, Wateringbury]
  • A. Wateringbury chosen
    Wateringbury is a village in Kent, England, known for its rural character and location along the River Medway.
  • B. Wallington
    Wallington is a suburban town in the London Borough of Sutton, known for its residential character, grammar schools, and green spaces in south London, England.
  • C. Wallington
    Wallington is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional countryside character.
  • D. Gunnersbury
    Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
  • E. Wrenbury
    Wrenbury is a rural village and civil parish in Cheshire, England, known for its historic church, canalside setting, and traditional English countryside character.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5cdd288190914e1d57321b3554 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.