Triple

T22139440
Position Surface form Disambiguated ID Type / Status
Subject Mpande E547118 entity
Predicate givenName P17 FINISHED
Object Mpande NE NERFINISHED

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: Mpande | Statement: [Mpande, givenName, Mpande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mpande
Context triple: [Mpande, givenName, Mpande]
  • A. Mpande chosen
    Mpande was a 19th-century Zulu king who ruled the Zulu Kingdom after the reigns of his half-brothers Shaka and Dingane.
  • B. Mandla
    Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
  • C. Mpondo
    The Mpondo are a Southern African ethnic group closely related to the Xhosa, known for their distinct language variety, cultural traditions, and historical kingdom in what is now South Africa’s Eastern Cape.
  • D. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bc7ae881909798c64a4c19adad completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.