Triple

T8360567
Position Surface form Disambiguated ID Type / Status
Subject A64 road (section) E196995 entity
Predicate roadNumber P1864 FINISHED
Object A64
The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
E728962 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: A64 | Statement: [A64 road (section), roadNumber, A64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A64
Context triple: [A64 road (section), roadNumber, A64]
  • A. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • B. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • 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. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • E. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • 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: A64
Triple: [A64 road (section), roadNumber, A64]
Generated description
The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A64
Target entity description: The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
  • A. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • B. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • 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. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • E. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80728eb081909bae6aae45848fab completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc775a548819090c83d916b352f41 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc872cc081909c75b3fb08b03e3f completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd15b53748190966a94b7e8c04880 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 6 p.m.