Triple

T15254613
Position Surface form Disambiguated ID Type / Status
Subject A43 motorway E364612 entity
Predicate routeNumber P1864 FINISHED
Object A43
A43 is a major road designation used for important regional and intercity routes in several European countries.
E1146854 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: A43 | Statement: [A43 motorway, routeNumber, A43]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A43
Context triple: [A43 motorway, routeNumber, A43]
  • A. A483
    The A483 is a major road in Wales that connects several towns and regions, including providing a key route to and from Llandrindod Wells.
  • B. A4232
    The A4232 is a major ring road and bypass route around Cardiff that helps divert traffic away from the city centre.
  • C. A47
    The A47 is a major road in the United Kingdom that runs across eastern England, linking Birmingham and the Midlands to cities such as Leicester, Peterborough, and Great Yarmouth.
  • D. A41
    The A41 is a major road in England that runs between London and Birkenhead, serving as an important route through the Midlands and Home Counties.
  • E. A45
    A45 is a major German autobahn in western Germany that connects the Ruhr area with central regions such as Siegen and Gießen.
  • 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: A43
Triple: [A43 motorway, routeNumber, A43]
Generated description
A43 is a major road designation used for important regional and intercity routes in several European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A43
Target entity description: A43 is a major road designation used for important regional and intercity routes in several European countries.
  • A. A483
    The A483 is a major road in Wales that connects several towns and regions, including providing a key route to and from Llandrindod Wells.
  • B. A4232
    The A4232 is a major ring road and bypass route around Cardiff that helps divert traffic away from the city centre.
  • C. A47
    The A47 is a major road in the United Kingdom that runs across eastern England, linking Birmingham and the Midlands to cities such as Leicester, Peterborough, and Great Yarmouth.
  • D. A41
    The A41 is a major road in England that runs between London and Birkenhead, serving as an important route through the Midlands and Home Counties.
  • E. A45
    A45 is a major German autobahn in western Germany that connects the Ruhr area with central regions such as Siegen and Gießen.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f572348190bd7719805e257e03 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6c109c48190952809c389e4b92b completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee897a7248190b3d81ea1da1d49e1 completed May 9, 2026, 7:56 a.m.
Created at: April 10, 2026, 3:13 a.m.