Triple

T7040526
Position Surface form Disambiguated ID Type / Status
Subject Enfield Town E163497 entity
Predicate hasShoppingStreet P959 FINISHED
Object London Road
London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
 E636427 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: London Road | Statement: [Enfield Town, hasShoppingStreet, London Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Road
Context triple: [Enfield Town, hasShoppingStreet, London Road]
  • A. London Road
    London Road is a major thoroughfare in Edinburgh, Scotland, forming part of the main eastern approach to the city centre.
  • B. London Road
    London Road was the historic name of Manchester Piccadilly railway station, one of the main rail hubs in Manchester, England.
  • C. London Road
    London Road is a street in the Elephant and Castle area of south London, forming part of a major thoroughfare connecting central London with the surrounding districts.
  • D. Edgware Road
    Edgware Road is a major thoroughfare in northwest London known for its diverse communities, Middle Eastern restaurants, and role as a key route into central London.
  • E. Merton Street
    Merton Street is a historic street in central Oxford, England, known for its traditional architecture and proximity to several University of Oxford colleges.
  • 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: London Road
Triple: [Enfield Town, hasShoppingStreet, London Road]
Generated description
London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London Road
Target entity description: London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
  • A. London Road
    London Road was the historic name of Manchester Piccadilly railway station, one of the main rail hubs in Manchester, England.
  • B. London Road
    London Road is a major thoroughfare in Edinburgh, Scotland, forming part of the main eastern approach to the city centre.
  • C. London Road
    London Road is a street in the Elephant and Castle area of south London, forming part of a major thoroughfare connecting central London with the surrounding districts.
  • D. Edgware Road
    Edgware Road is a major thoroughfare in northwest London known for its diverse communities, Middle Eastern restaurants, and role as a key route into central London.
  • E. Merton Street
    Merton Street is a historic street in central Oxford, England, known for its traditional architecture and proximity to several University of Oxford colleges.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775afabbc8190a6ff263b1a996c9c completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c7779c8bcc819089d79399f0c9eb31 completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c7789d07c08190b6b6479ffbbc9f3e completed March 28, 2026, 6:43 a.m.
Created at: March 27, 2026, 2:36 p.m.