Triple

T6304021
Position Surface form Disambiguated ID Type / Status
Subject Edenfield E141326 entity
Predicate roadJunctionOf P6234 FINISHED
Object 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.
 E584497 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: A676 | Statement: [Edenfield, roadJunctionOf, A676]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A676
Context triple: [Edenfield, roadJunctionOf, A676]
  • A. 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.
  • B. A614
    The A614 is a major road in England that serves as an important regional route connecting several towns and intersecting with key highways.
  • C. A56
    The A56 is a major road in North West England that runs between Chester and Broughton, passing through key urban areas including Manchester.
  • 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: A676
Triple: [Edenfield, roadJunctionOf, A676]
Generated description
The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A676
Target entity description: The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
  • A. 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.
  • B. A614
    The A614 is a major road in England that serves as an important regional route connecting several towns and intersecting with key highways.
  • C. A56
    The A56 is a major road in North West England that runs between Chester and Broughton, passing through key urban areas including Manchester.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e43e085081908546fa120a43bf84 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e69033cc8190a4c3f88993620754 completed March 27, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69c5e73595288190a8c0696d7c1dc887 completed March 27, 2026, 2:11 a.m.
Created at: March 22, 2026, 4:27 p.m.