Triple

T35026681
Position Surface form Disambiguated ID Type / Status
Subject Quran 83:2 E1010355 entity
Predicate primaryAddresseesInContext P18936 FINISHED
Object traders who cheat others 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: traders who cheat others | Statement: [Quran 83:2, primaryAddresseesInContext, traders who cheat others]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryAddresseesInContext
Context triple: [Quran 83:2, primaryAddresseesInContext, traders who cheat others]
  • A. primaryPeople
    Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
  • B. addresseeOf
    Indicates that one entity is the intended recipient or target audience of a communication, message, or expression from another entity.
  • C. primaryRecipient chosen
    Indicates the entity that is the main or principal receiver of something, such as a message, resource, or benefit, in a given context.
  • D. normAddressee
    Indicates that a particular entity is the socially or conventionally appropriate recipient or target of an utterance, message, or communicative act.
  • E. primaryMembers
    Indicates that the related entities are the main or most important members within a larger group or organization.
  • 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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a016960819093ed4990fb4d9d36 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.