Triple

T21778736
Position Surface form Disambiguated ID Type / Status
Subject A595 E537649 entity
Predicate connects P390 FINISHED
Object Egremont 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: Egremont | Statement: [A595, connects, Egremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egremont
Context triple: [A595, connects, Egremont]
  • A. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • B. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • C. Egremont chosen
    Egremont is a small market town in Cumbria, England, known for its historic castle ruins and annual Crab Fair.
  • D. Uxbridge
    Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
  • E. Uxbridge
    Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462b094c81908207073c278a58fe completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.