Triple

T2808882
Position Surface form Disambiguated ID Type / Status
Subject Vaal Triangle E54119 entity
Predicate hasCity P316 FINISHED
Object Vanderbijlpark E58237 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: Vanderbijlpark | Statement: [Vaal Triangle, hasCity, Vanderbijlpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanderbijlpark
Context triple: [Vaal Triangle, hasCity, Vanderbijlpark]
  • A. Vanderbijlpark chosen
    Vanderbijlpark is an industrial city in South Africa known for its large steel production facilities and location on the Vaal River.
  • B. 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.
  • C. Krugersdorp
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • D. Ermelo
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • E. 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.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce97c3008190a966441d719d1d1c completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.