Triple

T10128395
Position Surface form Disambiguated ID Type / Status
Subject Ramsgate railway station E226272 entity
Predicate connectsTo P845 FINISHED
Object Gillingham (Kent) E267858 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: Gillingham (Kent) | Statement: [Ramsgate railway station, connectsTo, Gillingham (Kent)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillingham (Kent)
Context triple: [Ramsgate railway station, connectsTo, Gillingham (Kent)]
  • A. Gillingham, Kent chosen
    Gillingham, Kent is a town in southeast England on the River Medway, historically known for its naval dockyard and military connections.
  • B. Gillingham, Dorset
    Gillingham, Dorset is a small historic market town in southwest England known for its rural setting and role as a local service and transport hub.
  • C. Gillingham and Rainham
    Gillingham and Rainham is a UK parliamentary constituency in the Medway area of Kent, represented in the House of Commons.
  • D. Graveney, Kent
    Graveney, Kent is a small rural village in southeast England, known for its marshland landscape and historic church, situated near Faversham on the north Kent coast.
  • E. Brompton, Kent
    Brompton, Kent is a historic district of Chatham in southeast England, known for its close association with the former Royal Navy dockyard and military fortifications.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2f0a0e881909267a83fbeb31f0c completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc72848481909dcbfc9fe3f6d379 completed April 5, 2026, 8:56 p.m.
Created at: March 30, 2026, 9:05 p.m.