Triple

T4743435
Position Surface form Disambiguated ID Type / Status
Subject Peak District E105300 entity
Predicate near P350 FINISHED
Object Derby E53520 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: Derby | Statement: [Peak District, near, Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby
Context triple: [Peak District, near, Derby]
  • A. Derby chosen
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • B. Derby
    Derby is a small coastal town in Western Australia's Kimberley region, known as a gateway to the outback and for its large tidal variations and proximity to the Buccaneer Archipelago.
  • 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 neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • E. Derby City
    Derby City is a popular nickname for Louisville, Kentucky, reflecting the city's fame as home of the Kentucky Derby horse race.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a309a408190836c51d0fe85c5d8 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:19 p.m.