Triple

T2020015
Position Surface form Disambiguated ID Type / Status
Subject Dinar E44082 entity
Predicate circulatedAlongside P26137 FINISHED
Object silver dirham 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: silver dirham | Statement: [Dinar, circulatedAlongside, silver dirham]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: circulatedAlongside
Context triple: [Dinar, circulatedAlongside, silver dirham]
  • A. circulatedAs
    Indicates that something was distributed, shared, or passed around in the form or role specified by the related entity.
  • B. appearsAlongside
    Indicates that two entities are present or occur together in the same context, setting, or instance.
  • C. wasLegalTenderAlongside chosen
    Indicates that one form of money was officially recognized and accepted as legal tender at the same time as another form of money within a given jurisdiction or period.
  • D. operatedAlongside
    Indicates that two or more entities functioned or were active together in a coordinated or concurrent manner within the same context or system.
  • E. introducedAlongWith
    Indicates that one entity was introduced or presented at the same time as another entity, as part of a joint or concurrent introduction.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8d0bcbc8190bbbb726ecae1c51b completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a389408190a84a54856352f15b completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:38 p.m.