Triple

T11609158
Position Surface form Disambiguated ID Type / Status
Subject amaGcaleka E275337 entity
Predicate ethnonymDerivedFrom P4709 FINISHED
Object Gcaleka kaPhalo E277837 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: Gcaleka kaPhalo | Statement: [amaGcaleka, ethnonymDerivedFrom, Gcaleka kaPhalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gcaleka kaPhalo
Context triple: [amaGcaleka, ethnonymDerivedFrom, Gcaleka kaPhalo]
  • A. Gcaleka kaPhalo chosen
    Gcaleka kaPhalo was a paramount chief of the Xhosa people and the ancestor of the Gcaleka royal lineage in what is now South Africa.
  • B. Ntswempu
    Ntswempu is a song by the artist King Don Come.
  • C. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • D. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • E. Mzilikazi
    Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
  • 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.