Triple

T19957499
Position Surface form Disambiguated ID Type / Status
Subject JPS Norton E479722 entity
Predicate usedManufacturer P138023 FINISHED
Object Norton NE NERFINISHED

How this triple was built (3 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 | Statement: [JPS Norton, usedManufacturer, Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norton
Context triple: [JPS Norton, usedManufacturer, Norton]
  • 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 town within the Teesside urban area in North East England, known for its historic high street and village green.
  • C. Norton
    Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
  • D. Norton chosen
    Norton is a historic British motorcycle manufacturer renowned for its success in mid-20th-century road racing and the Isle of Man TT.
  • E. Norton
    Norton is a village in Gloucestershire, England, situated near the River Chelt and close to the town of Cheltenham.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedManufacturer
Context triple: [JPS Norton, usedManufacturer, Norton]
  • A. usedByManufacturer
    Indicates that a manufacturer makes use of a particular resource, component, method, or tool in its production or operational processes.
  • B. usedBrandOf
    Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
  • C. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • D. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • E. usedBrand
    Indicates that an entity has utilized, applied, or operated a particular brand in some context.
  • F. None of above. chosen

Provenance (4 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.
PD Predicate disambiguation batch_69e537f7e4848190b431a69ec3f1b609 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.