Triple

T21469810
Position Surface form Disambiguated ID Type / Status
Subject A523 London Road E529696 entity
Predicate hasName P744 FINISHED
Object London Road
London Road is a roadway in England that forms part of the A523 route, connecting towns in the East Midlands and North West regions.
 E1487382 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: [A523 London Road, hasName, London Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Road
Context triple: [A523 London Road, hasName, London Road]
  • 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 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 major thoroughfare running through the Norbury area of south London, lined with shops, services, and residential buildings.
  • 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: [A523 London Road, hasName, London Road]
Generated description
London Road is a roadway in England that forms part of the A523 route, connecting towns in the East Midlands and North West regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London Road
Target entity description: London Road is a roadway in England that forms part of the A523 route, connecting towns in the East Midlands and North West regions.
  • A. 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.
  • B. 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.
  • C. London Road
    London Road is a major thoroughfare in Edinburgh, Scotland, forming part of the main eastern approach to the city centre.
  • D. London Road
    London Road is a major thoroughfare running through the Norbury area of south London, lined with shops, services, and residential buildings.
  • E. London Road
    London Road is a major thoroughfare in Southend-on-Sea, England, known for its mix of shops, entertainment venues, and local businesses.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea12d9048190bf51ca3efc435a64 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e12ddd8481908a2aefa9f8e479ce completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1d4a6bc8190909ca0e358e35c85 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e22dcac081909a02bbb3f74f42a9 completed May 17, 2026, 3:43 p.m.
Created at: April 16, 2026, 6:17 p.m.