Triple

T6609273
Position Surface form Disambiguated ID Type / Status
Subject Temple Sowerby E149195 entity
Predicate locatedOnRoad P20522 FINISHED
Object 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.
E602639 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: A66 | Statement: [Temple Sowerby, locatedOnRoad, A66]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A66
Context triple: [Temple Sowerby, locatedOnRoad, A66]
  • A. 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.
  • B. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • C. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • D. 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.
  • E. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • 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: A66
Triple: [Temple Sowerby, locatedOnRoad, A66]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A66
Target entity description: 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.
  • A. 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.
  • B. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • C. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • D. 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.
  • E. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3301dc819082d427675c36aaa6 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbd228fc8190852fac2308233765 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd417d288190868e9709deb4b28a completed March 27, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce6be1f88190bc8b90bf90c6dc55 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:57 p.m.