Triple

T8910573
Position Surface form Disambiguated ID Type / Status
Subject Vera Lynn E212170 entity
Predicate placeOfDeath P21 FINISHED
Object Ditchling E713774 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: Ditchling | Statement: [Vera Lynn, placeOfDeath, Ditchling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ditchling
Context triple: [Vera Lynn, placeOfDeath, Ditchling]
  • A. Ditchling chosen
    Ditchling is a historic village in East Sussex, England, known for its artistic heritage and picturesque setting at the foot of the South Downs.
  • B. Ditchling Common
    Ditchling Common is a rural area and country park in East Sussex, England, known for its heathland, woodland, and ponds that support diverse wildlife and recreational activities.
  • C. Beddington
    Beddington is a suburban area in South London known for its historic village core, green spaces, and proximity to Croydon and central London.
  • D. Wanborough
    Wanborough is a historic rural village and civil parish in Wiltshire, England, situated near the town of Swindon.
  • E. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65227d008190b13ba162d0b3c9d1 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba36f8cc8190ab57ddc99b7219d1 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.