Triple

T5168243
Position Surface form Disambiguated ID Type / Status
Subject Iranian toman E116610 entity
Predicate valueExpression P7345 FINISHED
Object large nominal rial amounts often simplified into tomans in speech 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: large nominal rial amounts often simplified into tomans in speech | Statement: [Iranian toman, valueExpression, large nominal rial amounts often simplified into tomans in speech]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: valueExpression
Context triple: [Iranian toman, valueExpression, large nominal rial amounts often simplified into tomans in speech]
  • A. valueExpressed
    Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
  • B. coordinateExpression
    Indicates that one expression is syntactically or semantically coordinated with another, typically as part of a compound structure (e.g., joined by "and" or "or").
  • C. hasExpression
    Indicates that an entity displays or possesses a particular facial or emotional expression.
  • D. entersExpression
    Indicates that one entity moves into, penetrates, or passes through another entity or defined space.
  • E. value chosen
    Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794b87508190be3b82726ef4b37c completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.