Triple

T8990234
Position Surface form Disambiguated ID Type / Status
Subject Sahaba E214769 entity
Predicate hasNameInArabic P6450 FINISHED
Object الصحابة E214769 NE 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: الصحابة | Statement: [Sahaba, hasNameInArabic, الصحابة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الصحابة
Context triple: [Sahaba, hasNameInArabic, الصحابة]
  • A. Companions of the Prophet
    The Companions of the Prophet are the men and women who personally met and followed the Islamic prophet Muhammad, forming the earliest Muslim community and transmitting his teachings.
  • B. Sahabiyyah
    A Sahabiyyah is a female companion of the Prophet Muhammad recognized in Islamic tradition for her faith, closeness to him, and role in the early Muslim community.
  • C. Sahaba chosen
    The Sahaba are the companions of the Prophet Muhammad, revered in Islam as his closest followers and the earliest Muslims who transmitted his teachings.
  • D. Al-Mu’min
    Al-Mu’min is one of the 99 Names of Allah in Islam, signifying God as the Giver of faith, security, and peace.
  • E. Al-Mubarrad
    Al-Mubarrad was a prominent 9th-century Arab grammarian and philologist renowned for his influential works on Arabic grammar and linguistic theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68733548819096a5ba0ff41e43da completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c9659c8190ae7ff5df8e016d17 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.