Triple

T10865413
Position Surface form Disambiguated ID Type / Status
Subject Nyankumbu E256515 entity
Predicate usesCurrency P188 FINISHED
Object Tanzanian shilling E104890 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: Tanzanian shilling | Statement: [Nyankumbu, usesCurrency, Tanzanian shilling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanzanian shilling
Context triple: [Nyankumbu, usesCurrency, Tanzanian shilling]
  • A. Tanzanian shilling chosen
    The Tanzanian shilling is the official monetary unit of Tanzania, used for everyday transactions and issued by the Bank of Tanzania.
  • 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. Kenyan shilling
    The Kenyan shilling is the official monetary unit of Kenya, used for everyday transactions and financial operations throughout the country.
  • E. Ugandan shilling
    The Ugandan shilling is the official monetary unit of Uganda, used for everyday transactions and financial operations throughout the country.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516cebe881909ed358a7641f6a12 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154cc97f88190aef41d18b5ebe836 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.