Triple

T12294987
Position Surface form Disambiguated ID Type / Status
Subject Siege of Chittorgarh (1535) E293059 entity
Predicate defender P696 FINISHED
Object Rana Vikramaditya Singh E946740 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: Rana Vikramaditya Singh | Statement: [Siege of Chittorgarh (1535), defender, Rana Vikramaditya Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana Vikramaditya Singh
Context triple: [Siege of Chittorgarh (1535), defender, Rana Vikramaditya Singh]
  • A. Vikramaditya Singh chosen
    Vikramaditya Singh was a 16th-century ruler of Mewar from the Sisodia Rajput dynasty, known for his turbulent reign marked by internal strife and noble discontent.
  • B. Randhir
    Randhir is an Indian actor, director, and producer best known as a member of the prominent Kapoor film family in Bollywood.
  • C. Rajiv
    Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
  • D. Rana Kirat Singh
    Rana Kirat Singh was the ruler who established the princely state of Dholpur in northern India.
  • E. Siva Singha
    Siva Singha was an influential 18th-century Ahom king of Assam known for consolidating royal power and patronizing art, architecture, and Vaishnavite religious institutions.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.