Triple

T2730213
Position Surface form Disambiguated ID Type / Status
Subject District line E60293 entity
Predicate terminus P388 FINISHED
Object Upminster
Upminster is a suburban town in East London that serves as a key transport hub and residential area on the eastern edge of Greater London.
 E295251 NE FINISHED

How this triple was built (4 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: Upminster | Statement: [District line, terminus, Upminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Upminster
Context triple: [District line, terminus, Upminster]
  • A. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • B. Uxbridge
    Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
  • C. Uxbridge
    Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
  • D. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Upminster
Triple: [District line, terminus, Upminster]
Generated description
Upminster is a suburban town in East London that serves as a key transport hub and residential area on the eastern edge of Greater London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Upminster
Target entity description: Upminster is a suburban town in East London that serves as a key transport hub and residential area on the eastern edge of Greater London.
  • A. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • B. Uxbridge
    Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
  • C. Uxbridge
    Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
  • D. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • F. None of above. chosen

Provenance (5 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeca6208190a586afb00747146a completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc227c48190b7ab34c6760d3331 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbd10031c8190b3ebb9d1b5a5bad0 completed March 10, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.