Triple

T4223049
Position Surface form Disambiguated ID Type / Status
Subject Sir Robin Wales E94386 entity
Predicate regionOfActivity P82 FINISHED
Object East London E114119 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: East London | Statement: [Sir Robin Wales, regionOfActivity, East London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East London
Context triple: [Sir Robin Wales, regionOfActivity, East London]
  • A. East London chosen
    East London is a subregion of London known for its historically industrial riverside areas, diverse communities, and extensive recent regeneration and development.
  • B. East London
    East London is a major port city on South Africa’s southeast coast, known for its beaches along the Indian Ocean and its role as an industrial and commercial hub.
  • C. Johannesburg, South Africa
    Johannesburg, South Africa is the country’s largest city and economic hub, known for its role in the gold mining industry and as a major urban center in Gauteng province.
  • D. Cape Town
    Cape Town is a major coastal city in South Africa known for its iconic Table Mountain, diverse culture, and role as the country’s legislative capital.
  • E. Port Elizabeth
    Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e0f4f18819089779c37c626762e completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6134257688190b9fd16079cf8079e completed March 15, 2026, 2:02 a.m.
Created at: March 12, 2026, 11:04 p.m.