Triple

T8960897
Position Surface form Disambiguated ID Type / Status
Subject Folkestone E213999 entity
Predicate locatedNear P294 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, locatedNear, Hythe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hythe
Context triple: [Folkestone, locatedNear, 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. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • C. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • D. Yalding
    Yalding is a historic rural village in Kent, England, known for its traditional architecture and location near the confluence of several rivers.
  • E. Bablock Hythe
    Bablock Hythe is a historic riverside hamlet and former ferry crossing point on the River Thames in Oxfordshire, England.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6748baa88190ac54e701dc4d6212 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb3680f88190a977ac4c103423f2 completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 7 p.m.