Triple

T10547624
Position Surface form Disambiguated ID Type / Status
Subject سيبويه E248862 entity
Predicate importanceOfWork P64796 FINISHED
Object الكتاب من أهم المراجع في النحو واللغة العربية 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: الكتاب من أهم المراجع في النحو واللغة العربية | Statement: [سيبويه, importanceOfWork, الكتاب من أهم المراجع في النحو واللغة العربية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importanceOfWork
Context triple: [سيبويه, importanceOfWork, الكتاب من أهم المراجع في النحو واللغة العربية]
  • A. parentWorkSignificance chosen
    Indicates the degree of importance or influence that a parent work has on the related work or context.
  • B. purposeOfWork
    Indicates that one entity is the intended goal, function, or objective that motivates or justifies the work performed by another entity.
  • C. workImpact
    Indicates that one entity’s work has an effect or influence on another entity, situation, or outcome.
  • D. settingOfWork
    Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
  • E. workRelatedTo
    Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52710869c81909b6db1a190825bad completed April 7, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69d518fa0b4081909bffc936d78bd77b completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:33 p.m.