Triple

T5511055
Position Surface form Disambiguated ID Type / Status
Subject Al-Sultan al-Azam E144564 entity
Predicate usedAlongside P4791 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: [Al-Sultan al-Azam, usedAlongside, Shahanshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahanshah
Context triple: [Al-Sultan al-Azam, usedAlongside, 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. Shahpur
    Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027cd14748190bd48d350cfe63603 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.