Triple

T1203460
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Derby E25833 entity
Predicate hasCentralOfficeLocation P18768 FINISHED
Object Derby E53520 NE FINISHED

How this triple was built (3 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: [Diocese of Derby, hasCentralOfficeLocation, Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby
Context triple: [Diocese of Derby, hasCentralOfficeLocation, 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 neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • C. Derby City
    Derby City is a popular nickname for Louisville, Kentucky, reflecting the city's fame as home of the Kentucky Derby horse race.
  • D. Nottingham
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • E. Sheffield
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCentralOfficeLocation
Context triple: [Diocese of Derby, hasCentralOfficeLocation, Derby]
  • A. hasSupportingOffice
    Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
  • B. hasAssociatedOffice
    Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
  • C. hasCentralAct
    Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
  • D. hasOfficeCluster
    Indicates that an entity is associated with or belongs to a specific group or cluster of office locations.
  • E. centralLocation chosen
    Indicates that one entity serves as the primary or central place associated with another entity.
  • F. None of above.

Provenance (4 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbf94188190991f63a84cc76b8a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b9f65481908824573c225dc638 completed March 7, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69a4bb5ed2b88190aab992913957e1cf completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.