Triple

T3314390
Position Surface form Disambiguated ID Type / Status
Subject Zafar E69646 entity
Predicate spouse P13 FINISHED
Object Ashraf Mahal E68824 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: Ashraf Mahal | Statement: [Zafar, spouse, Ashraf Mahal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashraf Mahal
Context triple: [Zafar, spouse, Ashraf Mahal]
  • A. Ashraf Mahal chosen
    Ashraf Mahal was a consort of the last Mughal emperor of India, Bahadur Shah II (Bahadur Shah Zafar), and a member of the late Mughal imperial household.
  • B. Mubarak Mahal
    Mubarak Mahal is a historic palace building within Jaipur’s City Palace complex, known for its ornate architecture and use as a museum showcasing royal textiles and artifacts.
  • C. Badi Mahal
    Badi Mahal is a prominent elevated garden palace within Udaipur’s City Palace complex, noted for its unique hilltop location and historic Rajput architecture.
  • D. Aga Khan Palace
    Aga Khan Palace is a historic landmark in Pune, India, renowned for its role as a prison for Mahatma Gandhi and other freedom fighters during the Indian independence movement.
  • E. Pari Mahal
    Pari Mahal is a historic terraced garden and former Mughal-era royal observatory overlooking Dal Lake in Srinagar, India.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb10f97b48190afb9c3864faf8cb2 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3250c720c81908a8a6fed9a6fd349 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.