Triple

T6985890
Position Surface form Disambiguated ID Type / Status
Subject Tunstall E161959 entity
Predicate historicalRegion P915 FINISHED
Object The Potteries E561127 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: The Potteries | Statement: [Tunstall, historicalRegion, The Potteries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Potteries
Context triple: [Tunstall, historicalRegion, The Potteries]
  • A. Stoke-on-Trent
    Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
  • B. Burton upon Trent
    Burton upon Trent is a market town in Staffordshire, England, historically renowned for its brewing industry and association with pale ales.
  • C. Staffordshire Potteries chosen
    Staffordshire Potteries is a historic ceramics-producing region in Staffordshire, England, renowned as a major center of the British pottery industry.
  • D. Burslem
    Burslem is a town in Stoke-on-Trent, England, historically known as a major center of the pottery industry.
  • E. Keele
    Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db93c0ac8190a752a633247bb439 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8b9a0e881909ee8f92ecb6fef66 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:32 p.m.