Triple

T4522873
Position Surface form Disambiguated ID Type / Status
Subject Rama E103308 entity
Predicate title P38 FINISHED
Object Prince of Ayodhya 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: Prince of Ayodhya | Statement: [Rama, title, Prince of Ayodhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Ayodhya
Context triple: [Rama, title, Prince of Ayodhya]
  • A. Yantra Raj
    Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
  • B. Raja chosen
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • C. Durgeshnandini
    Durgeshnandini is a pioneering 19th-century Bengali historical novel by Bankim Chandra Chattopadhyay, often regarded as one of the earliest major works of modern Bengali literature.
  • D. Bhavarth Ramayan
    Bhavarth Ramayan is a revered Marathi poetic commentary on the Bhagavad Gita, traditionally attributed to the 13th-century saint-poet Dnyaneshwar.
  • E. Dashavatara
    Dashavatara refers to the ten principal incarnations of the Hindu god Vishnu, each believed to appear in different ages to restore cosmic order and righteousness.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:02 p.m.