Triple

T13058804
Position Surface form Disambiguated ID Type / Status
Subject Norbury E327647 entity
Predicate mainRoad P5943 FINISHED
Object London Road
London Road is a major thoroughfare running through the Norbury area of south London, lined with shops, services, and residential buildings.
 E1032962 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: [Norbury, mainRoad, London Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Road
Context triple: [Norbury, mainRoad, 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 major thoroughfare in Glasgow, Scotland, running through the Parkhead area and serving as a key route in the city's east end.
  • D. London Road
    London Road is a major thoroughfare in Southend-on-Sea, England, known for its mix of shops, entertainment venues, and local businesses.
  • E. London Road
    London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
  • 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: [Norbury, mainRoad, London Road]
Generated description
London Road is a major thoroughfare running through the Norbury area of south London, lined with shops, services, and residential buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London Road
Target entity description: London Road is a major thoroughfare running through the Norbury area of south London, lined with shops, services, and residential buildings.
  • A. London Road
    London Road is a major thoroughfare in Southend-on-Sea, England, known for its mix of shops, entertainment venues, and local businesses.
  • B. 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.
  • C. London Road
    London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
  • D. London Road
    London Road is a major thoroughfare in Glasgow, Scotland, running through the Parkhead area and serving as a key route in the city's east end.
  • E. London Road
    London Road is a major thoroughfare in Edinburgh, Scotland, forming part of the main eastern approach to the city centre.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716baf00881909a1a11d36cdb8d42 completed May 3, 2026, 9:34 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 8:58 p.m.