Triple

T23499272
Position Surface form Disambiguated ID Type / Status
Subject Shamley Green E571793 entity
Predicate nearbySettlement P350 FINISHED
Object Cranleigh NE NERFINISHED

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: Cranleigh | Statement: [Shamley Green, nearbySettlement, Cranleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranleigh
Context triple: [Shamley Green, nearbySettlement, Cranleigh]
  • A. Cranleigh chosen
    Cranleigh is a large village and civil parish in the county of Surrey in southeast England, known for its rural setting and local amenities.
  • B. Cranleigh Waters
    Cranleigh Waters is a small river in Surrey, England, that flows through the village of Cranleigh and joins the River Wey.
  • C. Adcote
    Adcote is a Victorian country house in Shropshire, England, designed in the late 19th century by architect Richard Norman Shaw in a distinctive Tudor Revival style.
  • D. Bryanston
    Bryanston is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
  • E. Bryanston
    Bryanston is a small rural community located within the municipality of Middlesex Centre in southwestern Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fb71c08190a30500b3f63a9ce6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.