Triple

T14390955
Position Surface form Disambiguated ID Type / Status
Subject Edgemead E356839 entity
Predicate nearbyPlace P2064 FINISHED
Object Bothasig E343123 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: Bothasig | Statement: [Edgemead, nearbyPlace, Bothasig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bothasig
Context triple: [Edgemead, nearbyPlace, Bothasig]
  • A. Bothasig chosen
    Bothasig is a residential suburb in the northern part of Cape Town, 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. Geseke
    Geseke is a small town in western Germany located in the historical region of Westphalia.
  • D. Randjespark
    Randjespark is a commercial and residential suburb in the Midrand area of Johannesburg, South Africa, known for its business parks and proximity to major transport routes.
  • E. Gladysvale
    Gladysvale is a fossil-bearing cave site in South Africa known for its important hominin and animal fossil discoveries within the Cradle of Humankind World Heritage area.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9029ef048190bdda5ee41618e720 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:16 a.m.