Triple

T9502008
Position Surface form Disambiguated ID Type / Status
Subject W. F. Harvey E229164 entity
Predicate placeOfDeath P21 FINISHED
Object Hertfordshire E60268 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: Hertfordshire | Statement: [W. F. Harvey, placeOfDeath, Hertfordshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertfordshire
Context triple: [W. F. Harvey, placeOfDeath, Hertfordshire]
  • A. Hertfordshire chosen
    Hertfordshire is a county in southern England known for its historic market towns, countryside, and proximity to London.
  • B. Bedfordshire
    Bedfordshire is a ceremonial and non-metropolitan county in the East of England, known for its mix of rural countryside, market towns, and the large town of Luton.
  • C. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • D. Buckinghamshire and Hertfordshire
    Buckinghamshire and Hertfordshire are neighboring ceremonial and historic counties in southeastern England, situated northwest and north of London, respectively.
  • E. Middlesex and Hertfordshire
    Middlesex and Hertfordshire are historic counties in southern England that once formed adjacent administrative regions on the outskirts of 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983d4b708190a4dfef1246986a26 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcaaeaa08190b90ca5600deb84a2 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 7:57 p.m.