Triple

T7942139
Position Surface form Disambiguated ID Type / Status
Subject A62 road E184415 entity
Predicate roadNumber P1864 FINISHED
Object A62
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
 E697279 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: A62 | Statement: [A62 road, roadNumber, A62]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A62
Context triple: [A62 road, roadNumber, A62]
  • A. 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.
  • B. A682
    The A682 is a primary road in northern England that runs through Lancashire and North Yorkshire, linking towns such as Rawtenstall and serving as a key route across the Pennines.
  • C. A676
    The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
  • D. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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: A62
Triple: [A62 road, roadNumber, A62]
Generated description
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A62
Target entity description: A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • A. 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.
  • B. A682
    The A682 is a primary road in northern England that runs through Lancashire and North Yorkshire, linking towns such as Rawtenstall and serving as a key route across the Pennines.
  • C. A676
    The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
  • D. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0c16b8819093c5d1719cd65ee3 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c1265008190a97ccedf92f9234e completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f23d11c8190a29f28337f1db419 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d2dff8819085ad9e10baad1537 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:09 p.m.