Triple

T8031493
Position Surface form Disambiguated ID Type / Status
Subject South Manchester E186990 entity
Predicate hasRoad P959 FINISHED
Object A6
A6 is a major road in England that runs from Luton in the south to Carlisle in the north, passing through several key towns and cities including parts of Greater Manchester.
 E708396 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: A6 | Statement: [South Manchester, hasRoad, A6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A6
Context triple: [South Manchester, hasRoad, A6]
  • A. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • B. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • E. A5
    A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
  • 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: A6
Triple: [South Manchester, hasRoad, A6]
Generated description
A6 is a major road in England that runs from Luton in the south to Carlisle in the north, passing through several key towns and cities including parts of Greater Manchester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A6
Target entity description: A6 is a major road in England that runs from Luton in the south to Carlisle in the north, passing through several key towns and cities including parts of Greater Manchester.
  • A. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • B. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • 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. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • E. A5
    A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eef921081908d0ea21f142c175a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e812dc81908916fc7163ae344a completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58abd96c8190ab9eeaece67d5408 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc2f71081909cb7c0c245368edb completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:22 p.m.