Triple

T5947026
Position Surface form Disambiguated ID Type / Status
Subject Wonder Cave E132304 entity
Predicate locatedNear P294 FINISHED
Object Krugersdorp E58791 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: Krugersdorp | Statement: [Wonder Cave, locatedNear, Krugersdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krugersdorp
Context triple: [Wonder Cave, locatedNear, Krugersdorp]
  • A. Krugersdorp chosen
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • 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. Klerksdorp
    Klerksdorp is a historic mining and agricultural city in South Africa’s North West Province, known as one of the country’s oldest European settlements and a regional economic hub.
  • D. 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.
  • E. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393bd4488190bba68d9c6e872e04 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108269e6081909fcb6b880fc92011 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:01 p.m.