Triple

T20924155
Position Surface form Disambiguated ID Type / Status
Subject Kalinga Foundation Trust E515292 entity
Predicate foundedBy P104 FINISHED
Object Biju Patnaik NE NERFINISHED

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: Biju Patnaik | Statement: [Kalinga Foundation Trust, foundedBy, Biju Patnaik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biju Patnaik
Context triple: [Kalinga Foundation Trust, foundedBy, Biju Patnaik]
  • A. Biju Patnaik chosen
    Biju Patnaik was a prominent Indian freedom fighter, aviator, and two-time Chief Minister of Odisha known for his daring missions and influential political leadership.
  • B. Hari Prasad Pradhan
    Hari Prasad Pradhan was a prominent Nepalese jurist who served as Chief Justice of the Supreme Court of Nepal.
  • C. Shyam Charan Murmu
    Shyam Charan Murmu was the late husband of Droupadi Murmu, the 15th President of India.
  • D. Ram Vilas Paswan
    Ram Vilas Paswan was a prominent Indian politician and long-serving Union minister known for his influential role in national coalition politics and advocacy for marginalized communities.
  • E. Raghunath Murmu
    Raghunath Murmu was an Indian linguist and educator best known for inventing the Ol Chiki script used to write the Santali language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6504c30819084e8cabab98d08f7 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.