Triple

T14509571
Position Surface form Disambiguated ID Type / Status
Subject ouguiya E340359 entity
Predicate usesDecimalSubunit P6187 FINISHED
Object no 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: no | Statement: [ouguiya, usesDecimalSubunit, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesDecimalSubunit
Context triple: [ouguiya, usesDecimalSubunit, no]
  • A. nonDecimalSubunit
    Indicates that a monetary unit has a smaller, subordinate unit that is not based on a decimal (base-10) subdivision.
  • B. isDecimalCurrency chosen
    Indicates that a currency is based on a decimal system, typically using 100 minor units to one major unit.
  • C. decimalized
    Indicates that something has been converted into or expressed in decimal form, typically changing from another numeral or measurement system to a base-10 representation.
  • D. currencySubunitOf
    Indicates that a monetary subunit (such as cents) is a fractional unit belonging to and defined in terms of a larger base currency.
  • E. fractionalUnitSymbol
    Indicates the symbolic notation used to represent the fractional unit associated with a given quantity or measurement.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69de5c4ccba08190a988bfda0bc9f5cb completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:21 a.m.