Triple

T19957511
Position Surface form Disambiguated ID Type / Status
Subject JPS Norton E479722 entity
Predicate machineModel P83868 FINISHED
Object Norton NRS588
The Norton NRS588 is a racing motorcycle developed by Norton as a high-performance evolution of its rotary-engined machines for competition use.
 E1404488 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: Norton NRS588 | Statement: [JPS Norton, machineModel, Norton NRS588]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norton NRS588
Context triple: [JPS Norton, machineModel, Norton NRS588]
  • A. Norton
    Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • B. Norton
    Norton is a dark-skinned American grape variety, historically significant in Midwestern and Eastern U.S. winemaking for producing deeply colored, full-bodied red wines with notable disease resistance.
  • C. Norton
    Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
  • D. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • E. Norton
    Norton is a town in Zimbabwe located near the Manyame River, known for its agricultural activities and proximity to the capital, Harare.
  • 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: Norton NRS588
Triple: [JPS Norton, machineModel, Norton NRS588]
Generated description
The Norton NRS588 is a racing motorcycle developed by Norton as a high-performance evolution of its rotary-engined machines for competition use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norton NRS588
Target entity description: The Norton NRS588 is a racing motorcycle developed by Norton as a high-performance evolution of its rotary-engined machines for competition use.
  • A. Norton
    Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • B. Norton
    Norton is a dark-skinned American grape variety, historically significant in Midwestern and Eastern U.S. winemaking for producing deeply colored, full-bodied red wines with notable disease resistance.
  • C. Norton
    Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
  • D. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • E. Norton
    Norton is a town in Zimbabwe located near the Manyame River, known for its agricultural activities and proximity to the capital, Harare.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdcaca3881908b8f3fb7e8862a12 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe60ce9881908b2ec495d99d701a completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.