Triple

T4906552
Position Surface form Disambiguated ID Type / Status
Subject Dasharatha E109924 entity
Predicate successor P78 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: [Dasharatha, successor, Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rama
Context triple: [Dasharatha, successor, 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. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • C. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • D. Ramachandra
    Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
  • E. 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.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e72ed5c819081104c99a398e0af completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8192848190aa2413b9517f18d8 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:29 p.m.