Triple

T5666609
Position Surface form Disambiguated ID Type / Status
Subject God Bless Africa E124871 entity
Predicate usedIn P98 FINISHED
Object Malawi E27032 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: Malawi | Statement: [God Bless Africa, usedIn, Malawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malawi
Context triple: [God Bless Africa, usedIn, Malawi]
  • A. Malawi chosen
    Malawi is a landlocked country in southeastern Africa known for Lake Malawi, its predominantly agricultural economy, and membership in regional and international organizations including the Commonwealth.
  • B. Malaweg
    Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
  • C. Mozambique
    Mozambique is a southeastern African nation on the Indian Ocean known for its Portuguese colonial heritage, rich cultural diversity, and extensive coastline with important ports and marine resources.
  • D. Zambia
    Zambia is a landlocked country in south-central Africa known for the Victoria Falls on the Zambezi River, diverse wildlife, and copper-rich economy.
  • E. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02345004081908858867be48d3885 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0a7aff08190bca93ac0ab8a9be0 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:43 p.m.