Triple

T16397585
Position Surface form Disambiguated ID Type / Status
Subject Gold Reef City E398222 entity
Predicate ownedBy P347 FINISHED
Object Tsogo Sun E1209613 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: Tsogo Sun | Statement: [Gold Reef City, ownedBy, Tsogo Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsogo Sun
Context triple: [Gold Reef City, ownedBy, Tsogo Sun]
  • A. Tsogo Sun chosen
    Tsogo Sun is a major South African hospitality and gaming group that owns and operates hotels, casinos, and entertainment complexes across the country.
  • B. Tsogo
    Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
  • C. Motele
    Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
  • D. Eshowe
    Eshowe is a historic town in South Africa’s KwaZulu-Natal province, notable as a center of Zulu history and colonial-era conflict.
  • E. Shingwedzi Rest Camp
    Shingwedzi Rest Camp is a popular riverside safari camp in the northern region of South Africa’s Kruger National Park, known for its rustic atmosphere and excellent wildlife viewing opportunities.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c5bcc7c81909dc1d3a9a1b7f50a completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.