Triple

T5794865
Position Surface form Disambiguated ID Type / Status
Subject Swartkrans E128483 entity
Predicate near P350 FINISHED
Object Kromdraai E136111 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: Kromdraai | Statement: [Swartkrans, near, Kromdraai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kromdraai
Context triple: [Swartkrans, near, Kromdraai]
  • A. Kraaifontein
    Kraaifontein is a residential suburb in the northern outskirts of Cape Town, South Africa, known for its mixed urban and semi-rural character.
  • B. Rooihuiskraal
    Rooihuiskraal is a residential suburb of Centurion, South Africa, known for its family-friendly environment and proximity to major urban amenities.
  • C. Diepkloof
    Diepkloof is a residential township area within Soweto, Johannesburg, known for its mix of formal housing, vibrant street life, and significant role in South Africa’s urban history.
  • D. Drimolen chosen
    Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
  • E. Hammanskraal
    Hammanskraal is a peri-urban township and surrounding area in northern Gauteng, South Africa, known for its proximity to Pretoria and ongoing challenges with service delivery and water quality.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a91c7788190936671bf816d3772 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a178ccf481909beddf56b66a588d completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:51 p.m.