Triple

T7096598
Position Surface form Disambiguated ID Type / Status
Subject Sahabiyyah E165344 entity
Predicate partOf P40 FINISHED
Object Sahaba 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: Sahaba | Statement: [Sahabiyyah, partOf, Sahaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahaba
Context triple: [Sahabiyyah, partOf, Sahaba]
  • A. 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.
  • B. Qubilah
    Qubilah is one of the daughters of Malcolm X and Betty Shabazz, known for her complex and often troubled life in the public eye.
  • C. Baharna
    The Baharna are an indigenous Arab Shia community of Eastern Arabia, particularly associated with Bahrain and nearby coastal regions, with a distinct cultural and linguistic heritage.
  • D. Madā’in
    Madā’in is the historical name for the ancient Mesopotamian metropolis of Ctesiphon, a major capital of the Parthian and Sasanian empires on the Tigris River.
  • E. 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.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e554d9f081909443be54eb501d25 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a320ce248190b8aa12f95aa9e008 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:41 p.m.