Triple

T7481798
Position Surface form Disambiguated ID Type / Status
Subject Melbourne Hall E176775 entity
Predicate locatedIn P40 FINISHED
Object Melbourne, Derbyshire E414053 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: Melbourne, Derbyshire | Statement: [Melbourne Hall, locatedIn, Melbourne, Derbyshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melbourne, Derbyshire
Context triple: [Melbourne Hall, locatedIn, Melbourne, Derbyshire]
  • A. Melbourne, Derbyshire chosen
    Melbourne, Derbyshire is a historic market town in South Derbyshire, England, known for its Georgian architecture, parish church, and landscaped gardens associated with Melbourne Hall.
  • B. Derby
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • C. 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.
  • D. Derby
    Derby is a surname of English origin associated with notable historical figures such as American merchant Elias Hasket Derby.
  • E. Derby
    Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.