Triple

T5511180
Position Surface form Disambiguated ID Type / Status
Subject Mughal rupee E144567 entity
Predicate scriptOnReverse P65163 FINISHED
Object Persian 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: Persian | Statement: [Mughal rupee, scriptOnReverse, Persian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptOnReverse
Context triple: [Mughal rupee, scriptOnReverse, Persian]
  • A. scriptOnFlag
    Indicates that a script is attached to and/or executed when a specific flag or condition is set.
  • B. scriptDirection
    Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
  • C. scriptAncestor
    Indicates that one script is an ancestor of another in a script family or derivation hierarchy, meaning the latter historically descends from or is derived from the former.
  • D. script
    Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
  • E. scriptName
    Indicates the name or title of a script associated with an entity, typically identifying which script is used, referenced, or executed in a given context.
  • F. None of above. chosen

Provenance (4 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69c01b07bde08190b3933b96bdc70dd5 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f051e508190b3886d87b4afdd0b completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:33 p.m.