Triple

T4605781
Position Surface form Disambiguated ID Type / Status
Subject Zambian kwacha E100429 entity
Predicate monetaryArea P18115 FINISHED
Object Zambian economy LITERAL 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: Zambian economy | Statement: [Zambian kwacha, monetaryArea, Zambian economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monetaryArea
Context triple: [Zambian kwacha, monetaryArea, Zambian economy]
  • A. currencyArea chosen
    Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
  • B. definedMonetarySystem
    Indicates that an authority or entity has established and specified the rules, structure, and characteristics of a particular monetary system.
  • C. monetaryUnionContext
    Indicates a context in which entities are related through participation in, or relevance to, a shared monetary union or common currency area.
  • D. monetaryUnionPartner
    Indicates that two entities are members of the same monetary union, sharing a common currency or coordinated monetary policy.
  • E. monetaryUnionGoal
    Indicates that one entity has the objective or aim of forming or participating in a monetary union with another entity.
  • F. None of above.

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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599b1f0881909fd693b81ff44f98 completed March 20, 2026, 2:28 p.m.
PD Predicate disambiguation batch_69bd522e2d5c8190937d0b5574f78f99 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.