Triple

T942001
Position Surface form Disambiguated ID Type / Status
Subject Rama Navami E20325 entity
Predicate associatedDeity P1481 FINISHED
Object Rama E103308 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: Rama | Statement: [Rama Navami, associatedDeity, Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rama
Context triple: [Rama Navami, associatedDeity, Rama]
  • A. Rama chosen
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • B. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • C. Vibhishana
    Vibhishana is a virtuous rakshasa prince in the Hindu epic Ramayana, known for abandoning his brother Ravana to ally with Rama and uphold dharma.
  • D. Hanuman
    Hanuman is a revered Hindu deity known for his immense strength, unwavering devotion to Lord Rama, and central role in the epic Ramayana.
  • E. Krishna
    Krishna is a major Hindu deity revered as the eighth avatar of Vishnu and celebrated for his roles as a divine lover, charioteer, and teacher in texts like the Bhagavad Gita and the Mahabharata.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258152cc8190a24456aefd58f19c completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:40 p.m.