Triple

T13890372
Position Surface form Disambiguated ID Type / Status
Subject Sandown Pier E333953 entity
Predicate near P350 FINISHED
Object Sandown beach E333954 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: Sandown beach | Statement: [Sandown Pier, near, Sandown beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandown beach
Context triple: [Sandown Pier, near, Sandown beach]
  • A. Sandown Beach chosen
    Sandown Beach is a popular sandy seaside destination on the Isle of Wight in England, known for its long promenade, family-friendly atmosphere, and traditional resort-town amenities.
  • B. Aberavon Beach
    Aberavon Beach is a long sandy seaside resort in Port Talbot, South Wales, popular for walking, surfing, and coastal recreation along Swansea Bay.
  • C. Swansea Beach
    Swansea Beach is a long sandy shoreline in Swansea, Wales, popular for seaside recreation and coastal views across Swansea Bay.
  • D. Hythe beach
    Hythe beach is a shingle shoreline on the south coast of Kent, England, known for its long promenade, coastal views, and traditional seaside atmosphere.
  • E. Selsey Beach
    Selsey Beach is a popular shingle and sand beach on England’s south coast, known for its seaside promenade, fishing heritage, and views across the English Channel.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a3a24881908d81d634622fbbcc completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd192b5e508190b2d385657f9e358f completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:15 p.m.