Triple

T3490185
Position Surface form Disambiguated ID Type / Status
Subject Zanzibar E73708 entity
Predicate currency P245 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: [Zanzibar, currency, Tanzanian shilling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanzanian shilling
Context triple: [Zanzibar, currency, 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 is a proposed common currency intended to be used by member states of the East African Community to promote regional economic integration.
  • C. Kenyan shilling
    The Kenyan shilling is the official monetary unit of Kenya, used for everyday transactions and financial operations throughout the country.
  • D. Ugandan shilling
    The Ugandan shilling is the official monetary unit of Uganda, used for everyday transactions and financial operations throughout the country.
  • E. Zambian kwacha
    The Zambian kwacha is the official fiat currency of Zambia, used for everyday transactions and issued by the Bank of Zambia.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb94190c8190a81eb41042e51a00 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.