Triple

T23461985
Position Surface form Disambiguated ID Type / Status
Subject Maidan Shahr District E569002 entity
Predicate usesCurrency P188 FINISHED
Object Afghan afghani 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: Afghan afghani | Statement: [Maidan Shahr District, usesCurrency, Afghan afghani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afghan afghani
Context triple: [Maidan Shahr District, usesCurrency, Afghan afghani]
  • A. Afghan afghani chosen
    The Afghan afghani is the official fiat currency of Afghanistan, issued and regulated by the country's central bank.
  • B. Afghan rupee
    The Afghan rupee was the former currency of Afghanistan used before the introduction of the Afghan afghani.
  • C. Aden rupee
    The Aden rupee was the former currency of the British-controlled port of Aden, used before being succeeded by the Aden shilling.
  • D. Pakistani rupee
    The Pakistani rupee is the official national currency of Pakistan, issued and regulated by the State Bank of Pakistan.
  • E. Tajikistani somoni
    The Tajikistani somoni is the official national currency of Tajikistan, used for all forms of monetary transactions within the country.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69bc200819096ed2baf25cdee4f completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:54 p.m.