Triple

T16713433
Position Surface form Disambiguated ID Type / Status
Subject Kenyan E406163 entity
Predicate currencyUsed P188 FINISHED
Object Kenyan shilling E81106 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: Kenyan shilling | Statement: [Kenyan, currencyUsed, Kenyan shilling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyan shilling
Context triple: [Kenyan, currencyUsed, Kenyan shilling]
  • A. Kenyan shilling chosen
    The Kenyan shilling is the official monetary unit of Kenya, used for everyday transactions and financial operations throughout the country.
  • B. East African shilling
    The East African shilling was a colonial-era currency used in several British-administered territories in East Africa and parts of the Horn of Africa.
  • C. East African shilling
    The East African shilling is a proposed common currency intended to be used by member states of the East African Community to promote regional economic integration.
  • D. Ugandan shilling
    The Ugandan shilling is the official monetary unit of Uganda, used for everyday transactions and financial operations throughout the country.
  • E. Tanzanian shilling
    The Tanzanian shilling is the official monetary unit of Tanzania, used for everyday transactions and issued by the Bank of Tanzania.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38653cdd48190863e1cc989e21f39 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.