Triple

T24720398
Position Surface form Disambiguated ID Type / Status
Subject الراغب الأصفهاني E612276 entity
Predicate نوع_التفسير P157037 FINISHED
Object تفسير موضوعي ولغوي للقرآن 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: تفسير موضوعي ولغوي للقرآن | Statement: [الراغب الأصفهاني, نوع_التفسير, تفسير موضوعي ولغوي للقرآن]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: نوع_التفسير
Context triple: [الراغب الأصفهاني, نوع_التفسير, تفسير موضوعي ولغوي للقرآن]
  • A. interpretationInIslam
    Indicates the religious understanding, explanation, or doctrinal meaning of something specifically within the framework of Islamic belief and scholarship.
  • B. allegoricalInterpretation
    Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
  • C. מאפיין פרשנות
    Indicates that something characterizes or defines a particular interpretation.
  • D. theologicalInterpretation
    Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
  • E. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • F. None of above. chosen

Provenance (4 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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
PDg Predicate description generation batch_69f410fc18808190b4e47d5a71d3a126 completed May 1, 2026, 2:33 a.m.
Created at: April 18, 2026, 3:40 a.m.