Triple

T2601028
Position Surface form Disambiguated ID Type / Status
Subject Convocation of Canterbury E58342 entity
Predicate location P40 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: [Convocation of Canterbury, location, Canterbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canterbury
Context triple: [Convocation of Canterbury, location, Canterbury]
  • A. 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.
  • B. 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.
  • 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. Windsor
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • E. Windsor
    Windsor is a small town in northern Colorado known for its rapidly growing residential communities and proximity to major Front Range cities like Fort Collins and Greeley.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4587014819089f78e93adf2144c completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b03dd08190a7d0df9f06fb3048 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:49 p.m.