Triple

T2880381
Position Surface form Disambiguated ID Type / Status
Subject Chief Justice of Pakistan E56981 entity
Predicate salaryCurrency P245 FINISHED
Object Pakistani rupee E276932 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: Pakistani rupee | Statement: [Chief Justice of Pakistan, salaryCurrency, Pakistani rupee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistani rupee
Context triple: [Chief Justice of Pakistan, salaryCurrency, Pakistani rupee]
  • A. Pakistani rupee chosen
    The Pakistani rupee is the official national currency of Pakistan, issued and regulated by the State Bank of Pakistan.
  • B. Afghan rupee
    The Afghan rupee was the former currency of Afghanistan used before the introduction of the Afghan afghani.
  • C. Indian rupee
    The Indian rupee is the official monetary unit of India, issued and regulated by the Reserve Bank of India and widely used in the country’s domestic and international economic transactions.
  • D. Hyderabadi rupee
    The Hyderabadi rupee was the historical monetary unit used in the princely state of Hyderabad before its integration into the Indian monetary system.
  • E. Afghan afghani
    The Afghan afghani is the official fiat currency of Afghanistan, issued and regulated by the country's central bank.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0296be081908070bd48fe4fc926 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0315d7cf8819093884c14562ce43f completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.