Triple

T8054871
Position Surface form Disambiguated ID Type / Status
Subject Hatfield Campus E187973 entity
Predicate locatedIn P40 FINISHED
Object Tshwane E314667 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: Tshwane | Statement: [Hatfield Campus, locatedIn, Tshwane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tshwane
Context triple: [Hatfield Campus, locatedIn, Tshwane]
  • A. Tshwane chosen
    Tshwane is a major metropolitan area in South Africa that includes the country’s administrative capital, Pretoria, and serves as an important political and economic hub.
  • B. Pietersburg
    Pietersburg is the former name of Polokwane, a major city and administrative center in South Africa’s Limpopo province.
  • C. Mmabatho
    Mmabatho is a town in South Africa that historically served as the capital of the former Bophuthatswana homeland and is now part of the city of Mahikeng in the North West province.
  • D. Bloemfontein
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • E. 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.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa16804819094926ff2ff053c80 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6769c6948190805188b09c16bed4 completed April 1, 2026, 6:43 p.m.
Created at: March 30, 2026, 5:25 p.m.