Triple

T10140016
Position Surface form Disambiguated ID Type / Status
Subject Kishangarh State E226955 entity
Predicate titleOfRuler P10605 FINISHED
Object Raja E310655 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: Raja | Statement: [Kishangarh State, titleOfRuler, Raja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja
Context triple: [Kishangarh State, titleOfRuler, Raja]
  • A. Raja chosen
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • B. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • C. Raja Rani
    Raja Rani is a popular 2013 Tamil romantic drama film, best known for its ensemble cast and emotional portrayal of love and second chances.
  • D. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • E. Maharaja Wana
    Maharaja Wana is the primary demon-king antagonist in the Malay literary adaptation of the Ramayana, known for abducting Siti Dewi and opposing Seri Rama.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde8851844819092330e74561b7e34 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300833e848190affe123d0286db56 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:07 p.m.