Triple

T23531496
Position Surface form Disambiguated ID Type / Status
Subject Hounslow railway station E576582 entity
Predicate connects P390 FINISHED
Object central London 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: central London | Statement: [Hounslow railway station, connects, central London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central London
Context triple: [Hounslow railway station, connects, central London]
  • A. Central London chosen
    Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
  • B. Downtown London
    Downtown London is the central business and cultural district of London, Ontario, known for its offices, shops, entertainment venues, and historic streets.
  • C. West London
    West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
  • D. London Central
    London Central is a major bus operating company in London that runs services across central areas of the city as part of the Go-Ahead London group.
  • E. east London
    East London is a historically industrial and now rapidly regenerating area of London known for its diverse communities, creative scenes, and redeveloped Docklands.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac78581c8190bd9d09ce2be8029d completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.