Triple

T21056161
Position Surface form Disambiguated ID Type / Status
Subject Derby Philosophical Society E518717 entity
Predicate location P40 FINISHED
Object Derby, England 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: Derby, England | Statement: [Derby Philosophical Society, location, Derby, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby, England
Context triple: [Derby Philosophical Society, location, Derby, England]
  • A. Derby, Derbyshire, England
    Derby, Derbyshire, England is a historic industrial city in the East Midlands known for its role in the Industrial Revolution and its long-standing engineering and railway heritage.
  • B. Derby
    Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • C. Derby chosen
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • D. Derby
    Derby is a small historic city in Connecticut known for its location at the confluence of the Housatonic and Naugatuck Rivers and its industrial heritage.
  • E. Derby
    Derby is a surname of English origin associated with notable historical figures such as American merchant Elias Hasket Derby.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7fc5c48190bdc4d75ab6a529a3 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.