Triple

T19249641
Position Surface form Disambiguated ID Type / Status
Subject Bank of South Sudan E481354 entity
Predicate currencyCode P208 FINISHED
Object SSP 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: SSP | Statement: [Bank of South Sudan, currencyCode, SSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSP
Context triple: [Bank of South Sudan, currencyCode, SSP]
  • A. SSP
    SSP is the abbreviation commonly used for the Samyukta Socialist Party, a former socialist political party in India.
  • B. SSP
    SSP is the acronym for the Species Survival Plan, a conservation program coordinated by zoos and aquariums to manage and protect threatened and endangered species in human care.
  • C. SSP
    SSP is a communication protocol used in Serial Attached SCSI (SAS) systems to transport SCSI commands and data between storage devices and controllers.
  • D. SSP chosen
    SSP is the official currency code for the South Sudanese pound, the legal tender of South Sudan.
  • E. SSP
    SSP is the commonly used acronym for Mexico’s Secretaría de Seguridad Pública, the federal public security ministry responsible for national policing and crime prevention.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2f43e48190abab5257bec8e6aa completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.