Triple

T18441100
Position Surface form Disambiguated ID Type / Status
Subject Sultan Muhammad Akbar E450527 entity
Predicate sibling P363 FINISHED
Object Zubdat-un-Nissa NE NERFINISHED

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: Zubdat-un-Nissa | Statement: [Sultan Muhammad Akbar, sibling, Zubdat-un-Nissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zubdat-un-Nissa
Context triple: [Sultan Muhammad Akbar, sibling, Zubdat-un-Nissa]
  • A. Zubdat-un-Nissa chosen
    Zubdat-un-Nissa was a Mughal princess, the daughter of Emperor Aurangzeb and his chief consort Dilras Banu Begum.
  • B. Dhat al-Sawari
    Dhat al-Sawari is the Arabic name for the Battle of the Masts, a major 7th-century naval clash in 655 between the early Islamic Caliphate and the Byzantine Empire that marked a turning point in Muslim naval power.
  • C. Risaletü’n-Nushiyye
    Risaletü’n-Nushiyye is a didactic Sufi mesnevi by Yunus Emre that offers moral and spiritual guidance in poetic form.
  • D. Al-Kisāʾī
    Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
  • E. Kitab al-Sab'in
    Kitab al-Sab'in is a seminal alchemical treatise attributed to the early Islamic polymath Jabir ibn Hayyan, exploring theoretical and practical aspects of chemistry and transmutation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c10a86c819091196968b648fc92 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.