Triple

T6973509
Position Surface form Disambiguated ID Type / Status
Subject Rea Vaya E161654 entity
Predicate connects P390 FINISHED
Object Braamfontein E127905 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: Braamfontein | Statement: [Rea Vaya, connects, Braamfontein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braamfontein
Context triple: [Rea Vaya, connects, Braamfontein]
  • A. Braamfontein chosen
    Braamfontein is a central Johannesburg neighborhood known as a major cultural, educational, and judicial hub of South Africa.
  • B. Mitchells Plain
    Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
  • C. Boksburg
    Boksburg is an industrial and residential city on the East Rand in Gauteng, South Africa, historically known for its coal mining and proximity to Johannesburg.
  • D. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • E. Roodepoort
    Roodepoort is a suburban city on the western side of Johannesburg in South Africa, known for its residential areas, shopping centers, and proximity to the Witwatersrand hills.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3aad108190b19df2d21f5ce168 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0735548190a406387c929cca07 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:30 p.m.