Triple

T16934220
Position Surface form Disambiguated ID Type / Status
Subject Sufi orders E410787 entity
Predicate include P1393 FINISHED
Object Rifaiyya
Rifaiyya is a Sufi order known for its ecstatic rituals, devotional practices, and emphasis on spiritual poverty and humility within Islamic mysticism.
E1240817 NE FINISHED

How this triple was built (4 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: Rifaiyya | Statement: [Sufi orders, include, Rifaiyya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rifaiyya
Context triple: [Sufi orders, include, Rifaiyya]
  • A. Faiza
    Faiza is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, often associated with meanings related to success or victory.
  • B. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • C. Al Ruwaila
    Al Ruwaila is a subtribe of the prominent Shammar tribal confederation in the Arabian Peninsula.
  • D. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • E. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rifaiyya
Triple: [Sufi orders, include, Rifaiyya]
Generated description
Rifaiyya is a Sufi order known for its ecstatic rituals, devotional practices, and emphasis on spiritual poverty and humility within Islamic mysticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rifaiyya
Target entity description: Rifaiyya is a Sufi order known for its ecstatic rituals, devotional practices, and emphasis on spiritual poverty and humility within Islamic mysticism.
  • A. Faiza
    Faiza is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, often associated with meanings related to success or victory.
  • B. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • C. Al Ruwaila
    Al Ruwaila is a subtribe of the prominent Shammar tribal confederation in the Arabian Peninsula.
  • D. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • E. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • F. None of above. chosen

Provenance (5 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2714b08190a2524d5d9578cc87 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe2d4f48190b965b6c0a3cc0125 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d067a6348190bdce8ae810d02741 completed May 10, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1366f4c8190b5627f67402d96a0 completed May 10, 2026, 6:40 p.m.
Created at: April 10, 2026, 5:30 a.m.