Triple

T3940472
Position Surface form Disambiguated ID Type / Status
Subject Abdulrazak Gurnah E92020 entity
Predicate residence P75 FINISHED
Object Canterbury E72201 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: Canterbury | Statement: [Abdulrazak Gurnah, residence, Canterbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canterbury
Context triple: [Abdulrazak Gurnah, residence, Canterbury]
  • A. Canterbury chosen
    Canterbury is a historic cathedral city in Kent, England, renowned for its medieval architecture and status as a major center of Christian pilgrimage.
  • B. Canterbury
    Canterbury is a large region on New Zealand’s South Island, centered on the city of Christchurch and known for its expansive plains, alpine scenery, and diverse communities.
  • C. Bristol
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • D. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • E. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfc88e4819084adefb695b975c5 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c3a64888190881c37e760a14f15 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:24 p.m.