Triple

T6476323
Position Surface form Disambiguated ID Type / Status
Subject South West Surrey E146079 entity
Predicate includesArea P1393 FINISHED
Object Cranleigh E31256 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: Cranleigh | Statement: [South West Surrey, includesArea, Cranleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranleigh
Context triple: [South West Surrey, includesArea, 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. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • E. Kingswood
    Kingswood is a suburban residential area in the borough of Reigate and Banstead in Surrey, England, known for its leafy streets and affluent 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a49b3bc8190ad80c6ca2dd15c68 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a7f348819091bca6b582ad230d completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.