Triple

T3343354
Position Surface form Disambiguated ID Type / Status
Subject QAR E70310 entity
Predicate exchangeRateType P5804 FINISHED
Object fixed peg 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: fixed peg | Statement: [QAR, exchangeRateType, fixed peg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exchangeRateType
Context triple: [QAR, exchangeRateType, fixed peg]
  • A. exchangeRateCharacteristic
    Indicates a relationship where a specific property or feature is attributed to an exchange rate, characterizing how that rate behaves or is defined.
  • B. currencyInterchangeabilityAgreementSince
    Indicates that two or more currencies have been mutually accepted as interchangeable under a formal agreement starting from a specified point in time.
  • C. currencyInterchangeabilityAgreementWith
    Indicates that two entities are bound by an agreement allowing their currencies to be exchanged or treated as mutually interchangeable under specified terms.
  • D. exchangeRateRegime chosen
    Indicates the type of system or policy a country or authority uses to manage and determine the value of its currency relative to other currencies.
  • E. exchangeSymbolType
    Indicates the type or category of symbol used to represent an asset on a particular exchange.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f06f8c8190a6b7c56ac3f5ff07 completed March 8, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.