Triple

T18474781
Position Surface form Disambiguated ID Type / Status
Subject Józef Teodor Konrad Korzeniowski E451400 entity
Predicate placeOfDeath P21 FINISHED
Object Bishopsbourne 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: Bishopsbourne | Statement: [Józef Teodor Konrad Korzeniowski, placeOfDeath, Bishopsbourne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bishopsbourne
Context triple: [Józef Teodor Konrad Korzeniowski, placeOfDeath, Bishopsbourne]
  • A. Bishopsbourne chosen
    Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
  • B. Bishopstone
    Bishopstone is a rural village and civil parish in Wiltshire, England, known for its historic downland setting near the Berkshire Downs.
  • C. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • D. Swanscombe
    Swanscombe is a town in Kent, England, known for its archaeological significance and proximity to major transport links including Ebbsfleet International railway station.
  • E. Westerham
    Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.