Triple

T22139530
Position Surface form Disambiguated ID Type / Status
Subject Difaqane E547120 entity
Predicate hasAlias P455 FINISHED
Object Lifaqane 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: Lifaqane | Statement: [Difaqane, hasAlias, Lifaqane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifaqane
Context triple: [Difaqane, hasAlias, Lifaqane]
  • A. Lifaqane chosen
    Lifaqane is a period of widespread warfare, migration, and social upheaval in early 19th-century southern Africa, closely associated with the rise of the Zulu kingdom under Shaka.
  • B. Difaqane
    Difaqane is a period of widespread warfare, migration, and social upheaval in early 19th-century southern Africa that reshaped the region’s political and demographic landscape.
  • C. Lafia
    Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
  • D. Taloqan
    Taloqan is a city in northeastern Afghanistan that serves as the capital of Takhar Province and a regional hub for trade and administration.
  • E. Likati
    Likati is a town in the northern Democratic Republic of the Congo that serves as a local administrative and commercial center.
  • 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.