Triple

T10765774
Position Surface form Disambiguated ID Type / Status
Subject Seretse Khama E253950 entity
Predicate familyName P18 FINISHED
Object Khama E369522 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: Khama | Statement: [Seretse Khama, familyName, Khama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khama
Context triple: [Seretse Khama, familyName, Khama]
  • A. Kgalema
    Kgalema is a South African politician who served as the country's third post-apartheid president and later as deputy president.
  • B. Longuda
    Longuda are an ethnic group in northeastern Nigeria, primarily known for their distinct language and cultural presence in and around Adamawa State.
  • C. Sabata Dalindyebo
    Sabata Dalindyebo was a prominent South African traditional leader and king of the Thembu people who became known for his resistance to apartheid-era policies.
  • D. Seretse Khama
    Seretse Khama was the founding President of Botswana and a key figure in leading the country to independence and early democratic stability.
  • E. Ian Khama chosen
    Ian Khama is a Botswanan politician and former military officer who served as the fourth President of Botswana from 2008 to 2018.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a5d5248190badfc5a8ab0215d6 completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84b88ba08190afddea2976d12465 completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:16 p.m.