Triple

T3869601
Position Surface form Disambiguated ID Type / Status
Subject London City Airport E91949 entity
Predicate locatedInRegion P40 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: [London City Airport, locatedInRegion, East London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East London
Context triple: [London City Airport, locatedInRegion, 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a82c551c8190a97fdc5a96cf131c completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:20 p.m.