Triple

T11079948
Position Surface form Disambiguated ID Type / Status
Subject Hayes railway station E261963 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: [Hayes 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: [Hayes 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999603948190934bca3a9151d726 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e77a78288190aa76912e0fa821b5 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.