Triple

T15708650
Position Surface form Disambiguated ID Type / Status
Subject Musta'li Ismailis E380777 entity
Predicate sharesPracticeWith P116886 FINISHED
Object other Shia Muslims 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: other Shia Muslims | Statement: [Musta'li Ismailis, sharesPracticeWith, other Shia Muslims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesPracticeWith
Context triple: [Musta'li Ismailis, sharesPracticeWith, other Shia Muslims]
  • A. sharesPracticesWith chosen
    Indicates that two entities engage in or follow similar methods, behaviors, or operational practices.
  • B. sharesTrainingWith
    Indicates that two entities have participated in the same training activity, program, or session.
  • C. sharesWorkWith
    Indicates that one entity collaborates or participates jointly in work or tasks with another entity.
  • D. sharesUniverseWith
    Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
  • E. shareWith
    Indicates that something is given, disclosed, or made accessible by one entity to another entity.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0051d639481909a10614e8f83e659 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:45 a.m.