Triple

T11608852
Position Surface form Disambiguated ID Type / Status
Subject Sarhili kaHintsa E275329 entity
Predicate residence P75 FINISHED
Object Gcalekaland E268258 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: Gcalekaland | Statement: [Sarhili kaHintsa, residence, Gcalekaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gcalekaland
Context triple: [Sarhili kaHintsa, residence, Gcalekaland]
  • A. Sekhukhuneland
    Sekhukhuneland is a historical region in northeastern South Africa that served as the heartland of the Pedi kingdom and culture.
  • B. Thembuland chosen
    Thembuland is a historical region in South Africa that served as the traditional homeland of the Thembu people, an Nguni-speaking group to which figures like Nelson Mandela belong.
  • C. Ciskei
    Ciskei was a nominally independent Bantustan in southeastern South Africa established under apartheid as a homeland for Xhosa-speaking people.
  • D. Nyasaland
    Nyasaland was a former British protectorate in southeastern Africa that later became the independent nation of Malawi in 1964.
  • E. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04231d08190b8a07cd977d11ffa completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a82381708190aa0e674603d5778a completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.