Triple

T14215414
Position Surface form Disambiguated ID Type / Status
Subject Night Tube on Central line (weekends) E352335 entity
Predicate includesStation P33789 FINISHED
Object Hainault 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: Hainault | Statement: [Night Tube on Central line (weekends), includesStation, Hainault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainault
Context triple: [Night Tube on Central line (weekends), includesStation, Hainault]
  • A. Hainault chosen
    Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
  • B. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Dagenham
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • D. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • E. Westerham
    Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
Created at: April 10, 2026, 1:06 a.m.