Triple

T5168224
Position Surface form Disambiguated ID Type / Status
Subject Iranian toman E116610 entity
Predicate commonConversion P32595 FINISHED
Object prices in rials often quoted in tomans by dropping one zero 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: prices in rials often quoted in tomans by dropping one zero | Statement: [Iranian toman, commonConversion, prices in rials often quoted in tomans by dropping one zero]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonConversion
Context triple: [Iranian toman, commonConversion, prices in rials often quoted in tomans by dropping one zero]
  • A. commonIn
    Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
  • B. helpedConvert
    Indicates that one entity assisted another in changing, transforming, or transitioning something from one state, form, or system to another.
  • C. convertedFor
    Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
  • D. commonCut
    Indicates that two or more entities share at least one identical segment or portion that has been cut or divided in the same way.
  • E. commonFor chosen
    Indicates that something is typical, usual, or frequently occurring for a given entity or context.
  • 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.