Triple

T10560420
Position Surface form Disambiguated ID Type / Status
Subject Eastrea E249202 entity
Predicate hasRoad P959 FINISHED
Object A605
A605 is a primary road in eastern England that connects Peterborough with key nearby towns and routes, serving as an important regional transport link.
 E870623 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: A605 | Statement: [Eastrea, hasRoad, A605]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A605
Context triple: [Eastrea, hasRoad, A605]
  • A. A607
    A607 is a primary A-road in England that runs between Leicester and Grantham, serving as an important regional route through the East Midlands.
  • B. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • C. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • D. A600
    A600 is a regional road in England that connects several towns and villages in Bedfordshire and Hertfordshire.
  • E. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • 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: A605
Triple: [Eastrea, hasRoad, A605]
Generated description
A605 is a primary road in eastern England that connects Peterborough with key nearby towns and routes, serving as an important regional transport link.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A605
Target entity description: A605 is a primary road in eastern England that connects Peterborough with key nearby towns and routes, serving as an important regional transport link.
  • A. A607
    A607 is a primary A-road in England that runs between Leicester and Grantham, serving as an important regional route through the East Midlands.
  • B. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • C. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • D. A600
    A600 is a regional road in England that connects several towns and villages in Bedfordshire and Hertfordshire.
  • E. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5271f3c6c819080b49fbe3aa09e09 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.