Triple

T8909481
Position Surface form Disambiguated ID Type / Status
Subject Deal railway station E212143 entity
Predicate hasServiceTo P6787 FINISHED
Object Walmer E217477 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: Walmer | Statement: [Deal railway station, hasServiceTo, Walmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walmer
Context triple: [Deal railway station, hasServiceTo, Walmer]
  • A. Walmer chosen
    Walmer is a coastal town in Kent, England, known for its historic Walmer Castle and seafront overlooking the English Channel.
  • B. Walmer Castle
    Walmer Castle is a historic coastal artillery fortress in Kent, England, that later became a prominent official residence and stately home.
  • C. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • D. Woolwich
    Woolwich is a largely rural township in Ontario, Canada, known for its farming communities, Mennonite heritage, and small towns such as Elmira and St. Jacobs.
  • E. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65207bbc8190be181555b9564797 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc930a38c8190b57127efc824e036 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:55 p.m.