Triple

T23013953
Position Surface form Disambiguated ID Type / Status
Subject Robertsbridge railway station E572979 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: [Robertsbridge 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: [Robertsbridge 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. Charing Cross Hospital
    Charing Cross Hospital is a major teaching hospital in London, England, affiliated with Imperial College London and providing a wide range of acute and specialist medical services.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e300008190bb12c6388a8b3280 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.