Triple

T1671843
Position Surface form Disambiguated ID Type / Status
Subject Highveld E36142 entity
Predicate contains P35 FINISHED
Object Bloemfontein E24732 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: Bloemfontein | Statement: [Highveld, contains, Bloemfontein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloemfontein
Context triple: [Highveld, contains, Bloemfontein]
  • A. Bloemfontein chosen
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • B. Pietermaritzburg
    Pietermaritzburg is a major city in South Africa’s KwaZulu-Natal province, historically significant as a colonial administrative center and now known for its Victorian architecture and role as a regional economic and educational hub.
  • C. Pretoria, South Africa
    Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
  • 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. Randburg
    Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62439e48819084e46b2719cdac58 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc189de08190b88849333d824c5b completed March 11, 2026, 5:22 a.m.
Created at: March 4, 2026, 7:29 p.m.