Triple

T3569419
Position Surface form Disambiguated ID Type / Status
Subject Mahmud Shah Durrani E75530 entity
Predicate title P38 FINISHED
Object Shah E365310 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: Shah | Statement: [Mahmud Shah Durrani, title, Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah
Context triple: [Mahmud Shah Durrani, title, Shah]
  • A. Shah chosen
    Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
  • B. Rahbar
    Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
  • C. Khosrowshahi
    Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
  • D. Khusrav Mirza
    Khusrav Mirza was a Mughal prince of the early 17th century, known for rebelling against his father Emperor Jahangir and becoming a focal point in the empire’s succession struggles.
  • E. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c1ecb081909051bcc1f38eea31 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ebfd548190a155fb1e65aefa8d completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.