Triple

T6694642
Position Surface form Disambiguated ID Type / Status
Subject Qudus E152716 entity
Predicate partOf P40 FINISHED
Object Asma ul Husna E155399 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: Asma ul Husna | Statement: [Qudus, partOf, Asma ul Husna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asma ul Husna
Context triple: [Qudus, partOf, Asma ul Husna]
  • A. Asma ul Husna chosen
    Asma ul Husna refers to the 99 beautiful names of Allah in Islamic tradition, each expressing a distinct divine attribute.
  • B. Hafsa
    Hafsa is a feminine given name of Arabic origin, historically borne by notable Ottoman royal figures such as Ayşe Hafsa Sultan.
  • C. Muhsinah
    Muhsinah is an American singer, songwriter, and producer known for her eclectic, futuristic soul sound and collaborations in alternative hip-hop and R&B.
  • D. Sayyida Nafisa
    Sayyida Nafisa was a revered 9th-century Muslim saint and descendant of the Prophet Muhammad, known for her piety, scholarship, and spiritual influence in Cairo.
  • E. Asma bint Umais
    Asma bint Umais was a notable early Muslim woman and Companion of the Prophet Muhammad, known for her piety, multiple marriages to prominent companions, and participation in the early migrations of Islam.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b196b300819095a194195ef9bd11 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.