Triple

T14346842
Position Surface form Disambiguated ID Type / Status
Subject Hurst Green E355745 entity
Predicate nearbySettlement P350 FINISHED
Object Limpsfield E248184 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: Limpsfield | Statement: [Hurst Green, nearbySettlement, Limpsfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limpsfield
Context triple: [Hurst Green, nearbySettlement, Limpsfield]
  • A. Limpsfield chosen
    Limpsfield is a historic village and civil parish in Surrey, England, known for its picturesque countryside and traditional English character.
  • B. Warlingham
    Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
  • C. Speldhurst
    Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
  • D. Shepherdswell
    Shepherdswell is a village in Kent, England, situated in the Dover district and known for its rural setting and historic parish church.
  • E. Weybridge
    Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05e64fe7408190914a43f7c44872d7 completed May 14, 2026, 3:12 p.m.
Created at: April 10, 2026, 1:14 a.m.