Triple

T20058236
Position Surface form Disambiguated ID Type / Status
Subject Chatham railway station E499396 entity
Predicate hasServiceTo P6787 FINISHED
Object London Charing Cross 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: London Charing Cross | Statement: [Chatham railway station, hasServiceTo, London Charing Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Charing Cross
Context triple: [Chatham railway station, hasServiceTo, London Charing Cross]
  • A. London Charing Cross chosen
    London Charing Cross is a central London railway terminus and major transport hub located near Trafalgar Square.
  • B. Charing Cross
    Charing Cross is a central London junction and landmark often considered the traditional geographic center of the city, from which distances to London are measured.
  • C. Charing Cross
    Charing Cross is a central area and major road junction in Glasgow, Scotland, known for its heavy traffic and proximity to key city landmarks.
  • D. St Giles’ Hospital, London
    St Giles’ Hospital in London was a medieval charitable institution established in the early 12th century to care for lepers and the poor.
  • E. St. Anthony’s Hospital, London
    St. Anthony’s Hospital in London was a medieval religious and charitable institution that served as both a hospital and a burial site for notable figures.
  • 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.