Triple

T9645261
Position Surface form Disambiguated ID Type / Status
Subject Quba E233176 entity
Predicate usesCurrency P188 FINISHED
Object Azerbaijani manat E145277 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: Azerbaijani manat | Statement: [Quba, usesCurrency, Azerbaijani manat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azerbaijani manat
Context triple: [Quba, usesCurrency, Azerbaijani manat]
  • A. Azerbaijani manat chosen
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • B. Armenian dram
    The Armenian dram is the official national currency of Armenia, used for everyday transactions and issued by the Central Bank of Armenia.
  • C. Turkmenistan manat
    The Turkmenistan manat is the official national currency of Turkmenistan, used for all domestic financial transactions and issued by the country's central bank.
  • D. Iranian rial
    The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
  • E. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.