Triple

T4304054
Position Surface form Disambiguated ID Type / Status
Subject Dara Shikoh E99910 entity
Predicate religion P45 FINISHED
Object Sufism E4756 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: Sufism | Statement: [Dara Shikoh, religion, Sufism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sufism
Context triple: [Dara Shikoh, religion, Sufism]
  • A. Sufism chosen
    Sufism is the mystical and spiritual dimension of Islam that emphasizes inner purification, direct experience of the divine, and a path of love and devotion to God.
  • B. Shia Sufism
    Shia Sufism is a mystical current within Shia Islam that integrates Sufi spiritual practices and metaphysics with Shia theological and devotional frameworks.
  • C. Mevleviyya
    Mevleviyya is a prominent Sufi order best known for its whirling dervish ceremonies and spiritual practices inspired by the teachings of the Persian poet and mystic Rumi.
  • D. Sufi orders
    Sufi orders are Islamic mystical brotherhoods organized around spiritual lineages and practices aimed at achieving closeness to God.
  • E. Qadiriyya Sufi tradition
    The Qadiriyya Sufi tradition is one of the oldest and most widespread Sufi orders in Islam, known for its emphasis on spiritual purification, devotion, and charitable works.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b792608190ac778b79c740256a completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0774d388190aaff15f528fe1bc2 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:09 p.m.