Triple

T19494189
Position Surface form Disambiguated ID Type / Status
Subject Dabney E487726 entity
Predicate hasVariant P455 FINISHED
Object Daubney 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: Daubney | Statement: [Dabney, hasVariant, Daubney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daubney
Context triple: [Dabney, hasVariant, Daubney]
  • A. Daubeny chosen
    Daubeny is an English surname derived from the Norman French family name d’Aubigny.
  • B. Tealby
    Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
  • C. Dahlbury
    Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
  • D. Keadby
    Keadby is a village in North Lincolnshire, England, known for its location on the River Trent and its nearby power station and transport links.
  • E. Drayton
    Drayton is a village in Norfolk, England, situated near the city of Norwich along the River Wensum.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349002788190afe7831d008d440f completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.