Triple

T30295728
Position Surface form Disambiguated ID Type / Status
Subject القيادة الإسلامية للعالم السني E770512 entity
Predicate يُفهم P80803 FINISHED
Object كموقع رمزي أكثر من كونه منصبًا رسميًا 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: كموقع رمزي أكثر من كونه منصبًا رسميًا | Statement: [القيادة الإسلامية للعالم السني, يُفهم, كموقع رمزي أكثر من كونه منصبًا رسميًا]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يُفهم
Context triple: [القيادة الإسلامية للعالم السني, يُفهم, كموقع رمزي أكثر من كونه منصبًا رسميًا]
  • A. understands
    Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
  • B. comprende
    Indicates that one entity includes, contains, or encompasses another as a part or component.
  • C. betterUnderstoodAs chosen
    Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
  • D. canBeUnderstoodBy
    Indicates that something is comprehensible or interpretable to a particular entity or group.
  • E. understandsCrossAs
    Indicates that one entity comprehends or correctly interprets another entity specifically in the context of a cross-lingual, cross-domain, or otherwise cross-contextual relationship.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68136bbb08190a2631b3f6264263c completed May 2, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:48 p.m.