Triple

T22084136
Position Surface form Disambiguated ID Type / Status
Subject SLQ E545728 entity
Predicate locatedIn P40 FINISHED
Object St Leonards-on-Sea 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: St Leonards-on-Sea | Statement: [SLQ, locatedIn, St Leonards-on-Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Leonards-on-Sea
Context triple: [SLQ, locatedIn, St Leonards-on-Sea]
  • A. St Leonards-on-Sea chosen
    St Leonards-on-Sea is a seaside town and resort on the south coast of England, forming part of the larger urban area of Hastings in East Sussex.
  • B. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • C. Leigh-on-Sea
    Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
  • D. St Leonards
    St Leonards is a suburb on Sydney’s North Shore known for its commercial offices, transport hub, and proximity to major hospitals and educational institutions.
  • E. Walmington-on-Sea
    Walmington-on-Sea is a fictional English seaside town best known as the home of the bumbling Home Guard platoon in the Dad’s Army franchise.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:28 p.m.