Triple

T14142623
Position Surface form Disambiguated ID Type / Status
Subject Cowbridge Road East E350463 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Canton
Canton is a vibrant inner-city district of Cardiff, Wales, known for its diverse community, independent shops, and lively arts and cultural scene.
E1082834 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: Canton | Statement: [Cowbridge Road East, hasNeighbourhood, Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canton
Context triple: [Cowbridge Road East, hasNeighbourhood, Canton]
  • A. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • B. Canton
    Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
  • C. Canton
    Canton is a city in northeastern Ohio best known as the home of the Pro Football Hall of Fame.
  • D. Canton
    Canton is a surname of English and French origin borne by various notable individuals across fields such as film production and politics.
  • E. Canton
    Canton is a small city in southeastern South Dakota that serves as the county seat of Lincoln County.
  • 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: Canton
Triple: [Cowbridge Road East, hasNeighbourhood, Canton]
Generated description
Canton is a vibrant inner-city district of Cardiff, Wales, known for its diverse community, independent shops, and lively arts and cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canton
Target entity description: Canton is a vibrant inner-city district of Cardiff, Wales, known for its diverse community, independent shops, and lively arts and cultural scene.
  • A. Canton
    Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
  • B. Canton
    Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
  • C. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • D. Canton
    Canton is a suburban town in Norfolk County, Massachusetts, located southwest of Boston and known for its residential character and local historic sites.
  • E. Canton
    Canton is a city in northeastern Ohio best known as the home of the Pro Football Hall of Fame.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de611ed3508190add37baa30d1d134 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf18e3d08190b287e2da192d05eb completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce1a2a4c881908d18b45917286712 completed May 7, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69fce24e7860819097f51a4907c894a7 completed May 7, 2026, 7:04 p.m.
Created at: April 10, 2026, 12:51 a.m.