Triple

T2841116
Position Surface form Disambiguated ID Type / Status
Subject Sedibeng District Municipality E62468 entity
Predicate containsIndustrialArea P13026 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: [Sedibeng District Municipality, containsIndustrialArea, Vanderbijlpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanderbijlpark
Context triple: [Sedibeng District Municipality, containsIndustrialArea, 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf16d0c08190bb8de4a4160b4414 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.