Triple

T9147553
Position Surface form Disambiguated ID Type / Status
Subject Gravesend railway station E219494 entity
Predicate connectsTo P845 FINISHED
Object London Charing Cross E37711 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: London Charing Cross | Statement: [Gravesend railway station, connectsTo, London Charing Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Charing Cross
Context triple: [Gravesend railway station, connectsTo, 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. St Mary’s Hospital, London
    St Mary’s Hospital, London is a major teaching hospital in Paddington renowned for its historic Lindo Wing, where numerous members of the British royal family have been born.
  • D. Portland Hospital, London
    Portland Hospital in London is a private maternity and gynecology hospital known for serving high-profile and royal patients.
  • E. Royal London Hospital
    Royal London Hospital is a major teaching hospital and trauma center in East London, serving as one of the largest and most important medical facilities in the city.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca918a3c881909c34a6a682eb2625 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b75186c8190849f86b7e26093f1 completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:20 p.m.