Triple

T5603470
Position Surface form Disambiguated ID Type / Status
Subject First National Bank E147175 entity
Predicate operatesIn P82 FINISHED
Object Eswatini E16080 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: Eswatini | Statement: [First National Bank, operatesIn, Eswatini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eswatini
Context triple: [First National Bank, operatesIn, Eswatini]
  • A. Eswatini chosen
    Eswatini is a small landlocked monarchy in Southern Africa known for its blend of traditional Swazi culture and modern institutions.
  • B. Lesotho
    Lesotho is a small, landlocked constitutional monarchy in Southern Africa, entirely surrounded by South Africa and known for its mountainous terrain and high-altitude settlements.
  • C. Botswana
    Botswana is a landlocked country in Southern Africa known for its stable democracy, significant diamond resources, and vast wildlife-rich landscapes including the Okavango Delta.
  • D. Siphofaneni, Eswatini
    Siphofaneni is a rural town in central Eswatini known as an agricultural and transport hub situated near the Great Usutu River.
  • E. Zimbabwe
    Zimbabwe is a landlocked country in southern Africa known for its dramatic landscapes, diverse wildlife, and historical sites such as Victoria Falls and the Great Zimbabwe ruins.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020dce10c8190bf456602eec211d4 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a045c4881909a3e48a242db5d22 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.