Triple

T12255750
Position Surface form Disambiguated ID Type / Status
Subject Johannesburg CBD E292094 entity
Predicate nearbyDistrict P18717 FINISHED
Object Yeoville E877402 NE FINISHED

How this triple was built (2 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: Yeoville | Statement: [Johannesburg CBD, nearbyDistrict, Yeoville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeoville
Context triple: [Johannesburg CBD, nearbyDistrict, Yeoville]
  • A. Yeoville chosen
    Yeoville is an inner-city residential suburb of Johannesburg, South Africa, known for its dense population, cultural diversity, and vibrant street life.
  • B. Jordanville
    Jordanville is a residential suburb in Melbourne, Victoria, Australia, known for its local amenities and train station on the Glen Waverley railway line.
  • C. Fiskeville
    Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
  • D. Mapleville
    Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
  • E. Brimley
    Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.