Triple

T20841021
Position Surface form Disambiguated ID Type / Status
Subject W. S. Gilbert E513101 entity
Predicate deathPlace P21 FINISHED
Object Harrow Weald 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: Harrow Weald | Statement: [W. S. Gilbert, deathPlace, Harrow Weald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow Weald
Context triple: [W. S. Gilbert, deathPlace, Harrow Weald]
  • A. Harrow Weald chosen
    Harrow Weald is a suburban area in the London Borough of Harrow, known for its residential character and proximity to Harrow Weald Common and other green spaces.
  • B. Harrow
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • C. Harrow
    Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
  • D. Wrotham Heath
    Wrotham Heath is a small village in Kent, England, known for its rural setting and proximity to major transport routes like the M20 and A20.
  • E. Harpur Hill
    Harpur Hill is a small village in the High Peak district of Derbyshire, England, known for its elevated position and proximity to the spa town of Buxton.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34b17b88190b3290bd5100ad2ad completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.