Triple

T14582759
Position Surface form Disambiguated ID Type / Status
Subject BPS-13 E342233 entity
Predicate currency 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: [BPS-13, currency, Pakistani rupee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistani rupee
Context triple: [BPS-13, currency, 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. Aden rupee
    The Aden rupee was the former currency of the British-controlled port of Aden, used before being succeeded by the Aden shilling.
  • E. 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.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9167b888190abb8f301b0c7c55b completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.