Triple

T20058241
Position Surface form Disambiguated ID Type / Status
Subject Chatham railway station E499396 entity
Predicate hasServiceTo P6787 FINISHED
Object Faversham 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: Faversham | Statement: [Chatham railway station, hasServiceTo, Faversham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faversham
Context triple: [Chatham railway station, hasServiceTo, Faversham]
  • A. Faversham chosen
    Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
  • B. Fordwich
    Fordwich is a small historic town in Kent, England, often noted as one of the smallest towns in Britain and situated near Canterbury.
  • C. Maidstone
    Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
  • D. Folkestone
    Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
  • E. Westerham
    Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.