Triple

T3897090
Position Surface form Disambiguated ID Type / Status
Subject Folkestone E90396 entity
Predicate near P350 FINISHED
Object Hythe E83169 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: Hythe | Statement: [Folkestone, near, Hythe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hythe
Context triple: [Folkestone, near, Hythe]
  • A. Hythe chosen
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • 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. Yalding
    Yalding is a historic rural village in Kent, England, known for its traditional architecture and location near the confluence of several rivers.
  • D. Humbermede
    Humbermede is a residential neighbourhood in the northwestern part of Toronto, Ontario, known for its diverse community and proximity to the Humber River.
  • E. Tenterden
    Tenterden is a historic market town in Kent, England, known for its traditional high street, heritage railway, and surrounding Wealden countryside.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd34e608190bf1ca1d0c04562b2 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9e3db881909e865e52a842b1be completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.