Triple

T5265138
Position Surface form Disambiguated ID Type / Status
Subject High Peak E118919 entity
Predicate containsSettlement P847 FINISHED
Object Gamesley E467206 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: Gamesley | Statement: [High Peak, containsSettlement, Gamesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamesley
Context triple: [High Peak, containsSettlement, Gamesley]
  • A. Gamesley chosen
    Gamesley is a residential area and former council estate on the outskirts of Glossop in Derbyshire, England.
  • B. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Pilsley
    Pilsley is a village in Derbyshire, England, known for its rural character and proximity to the Peak District.
  • E. Rolleston
    Rolleston is a small rural town in Central Queensland, Australia, known as a service centre for surrounding agricultural areas and a gateway to the Carnarvon Gorge.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bf89ae481908835b711fb2696fd completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c71d308190a42a2da51b4cf93e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.