Triple

T8933392
Position Surface form Disambiguated ID Type / Status
Subject Ellen Johnson Sirleaf E212712 entity
Predicate notableWorkplace P20563 FINISHED
Object Equator Bank E212712 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: Equator Bank | Statement: [Ellen Johnson Sirleaf, notableWorkplace, Equator Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Equator Bank
Context triple: [Ellen Johnson Sirleaf, notableWorkplace, Equator Bank]
  • A. Equator Bank chosen
    Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
  • B. Aurora Bank
    Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
  • C. ING Bank
    ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
  • D. Gosbank
    Gosbank was the central bank of the Soviet Union, responsible for issuing currency and overseeing the state-controlled financial system.
  • E. Tangerine Bank
    Tangerine Bank is a Canadian direct bank known for its no-fee online banking services and savings products.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93587b081908e23c2a8c01b9516 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:57 p.m.