Triple

T10360085
Position Surface form Disambiguated ID Type / Status
Subject Naser al-Din Shah Qajar E244109 entity
Predicate title P38 FINISHED
Object Shahanshah E74116 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: Shahanshah | Statement: [Naser al-Din Shah Qajar, title, Shahanshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahanshah
Context triple: [Naser al-Din Shah Qajar, title, Shahanshah]
  • A. Shah
    Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
  • B. Khosrowshahi
    Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
  • C. Shahanshah of Persia chosen
    The Shahanshah of Persia was the imperial title used by the monarchs who ruled over the Persian Empire, signifying their status as "King of Kings" and supreme sovereign over subordinate rulers.
  • D. King of Persia
    Cyrus the Great was the founder of the Achaemenid Empire, renowned for creating one of the largest empires in history and for his relatively progressive policies toward conquered peoples.
  • E. Malekshahi
    Malekshahi is a dialect of Southern Kurdish spoken primarily by the Malekshahi Kurdish tribe in western Iran and parts of Iraq.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb827cd4819094bead4304795c33 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:59 a.m.