Triple

T10140006
Position Surface form Disambiguated ID Type / Status
Subject Kishangarh State E226955 entity
Predicate foundedBy P104 FINISHED
Object Rao Kishan Singh E844296 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: Rao Kishan Singh | Statement: [Kishangarh State, foundedBy, Rao Kishan Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rao Kishan Singh
Context triple: [Kishangarh State, foundedBy, Rao Kishan Singh]
  • A. Rao Kishan Singh chosen
    Rao Kishan Singh was a Rajput ruler best known for establishing the princely state of Kishangarh in present-day Rajasthan, India.
  • B. Kehar Singh
    Kehar Singh was one of the conspirators involved in the 1984 assassination of Indian Prime Minister Indira Gandhi.
  • C. Swaran Singh
    Swaran Singh was a prominent Indian politician and long-serving Union Cabinet minister who played a key role in shaping India’s foreign and defense policies in the decades after independence.
  • D. Anant Singh
    Anant Singh is a prominent South African film producer of Indian origin, best known for producing critically acclaimed anti-apartheid and socially conscious films.
  • E. Vishwanath Pratap Singh
    Vishwanath Pratap Singh was an Indian politician who served as the 7th Prime Minister of India and was known for implementing the Mandal Commission recommendations on reservations for backward classes.
  • 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.