Triple

T22694232
Position Surface form Disambiguated ID Type / Status
Subject Wedgwood Museum E561128 entity
Predicate locatedIn P40 FINISHED
Object Barlaston NE NERFINISHED

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: Barlaston | Statement: [Wedgwood Museum, locatedIn, Barlaston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barlaston
Context triple: [Wedgwood Museum, locatedIn, Barlaston]
  • A. Barlaston chosen
    Barlaston is a village in Staffordshire, England, known for its rural character and proximity to the city of Stoke-on-Trent.
  • B. Darlaston
    Darlaston is a town in the West Midlands of England with an industrial heritage, historically known for metalworking and manufacturing.
  • C. Dalyston
    Dalyston is a small rural town in Victoria, Australia, situated near the Bass Coast and known for its farming community and proximity to coastal attractions.
  • D. Tarfside
    Tarfside is a small rural village in Glen Esk in the Angus region of Scotland, known for its scenic Highland landscape and outdoor recreation opportunities.
  • E. Skenfrith
    Skenfrith is a small village in Monmouthshire, Wales, known for its historic riverside setting and its prominent medieval castle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.