Triple

T9219787
Position Surface form Disambiguated ID Type / Status
Subject الجامع الصحيح E221332 entity
Predicate يُعد P1120 FINISHED
Object أصح كتب الحديث النبوي عند أهل السنة والجماعة بعد القرآن الكريم في الصحة 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: أصح كتب الحديث النبوي عند أهل السنة والجماعة بعد القرآن الكريم في الصحة | Statement: [الجامع الصحيح, يُعد, أصح كتب الحديث النبوي عند أهل السنة والجماعة بعد القرآن الكريم في الصحة]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يُعد
Context triple: [الجامع الصحيح, يُعد, أصح كتب الحديث النبوي عند أهل السنة والجماعة بعد القرآن الكريم في الصحة]
  • A. considersItself
    Indicates that an entity regards or perceives itself in a particular way, role, or state.
  • B. considered chosen
    Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
  • C. isSuitableFor
    Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
  • D. consideredIn
    Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
  • E. isAbout
    Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
PD Predicate disambiguation batch_69cc7a3daeb481908b0abde3fbc1f1f0 completed April 1, 2026, 1:51 a.m.
Created at: March 30, 2026, 7:28 p.m.