Triple

T10652393
Position Surface form Disambiguated ID Type / Status
Subject Transkei E251004 entity
Predicate shortName P43 FINISHED
Object Transkei E251004 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: Transkei | Statement: [Transkei, shortName, Transkei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transkei
Context triple: [Transkei, shortName, Transkei]
  • A. Transkei chosen
    Transkei was a former bantustan in southeastern South Africa, established under apartheid as a nominally self-governing territory primarily for Xhosa-speaking peoples.
  • B. Transkei, South Africa
    Transkei, South Africa was a former bantustan in the southeastern part of the country, historically designated for Xhosa-speaking people during the apartheid era.
  • C. Ciskei
    Ciskei was a nominally independent Bantustan in southeastern South Africa established under apartheid as a homeland for Xhosa-speaking people.
  • D. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • E. Sekhukhuneland
    Sekhukhuneland is a historical region in northeastern South Africa that served as the heartland of the Pedi kingdom and culture.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff78ec88190a4d1863fe87245f6 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.