Triple

T19204770
Position Surface form Disambiguated ID Type / Status
Subject Dasaratha E480202 entity
Predicate title P38 FINISHED
Object Maharaja 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: Maharaja | Statement: [Dasaratha, title, Maharaja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maharaja
Context triple: [Dasaratha, title, Maharaja]
  • A. Maharaja chosen
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • C. Rajarshi
    Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
  • D. Maharaja Wana
    Maharaja Wana is the primary demon-king antagonist in the Malay literary adaptation of the Ramayana, known for abducting Siti Dewi and opposing Seri Rama.
  • E. Maharaja of Panjalu
    The Maharaja of Panjalu was the sovereign ruler of the historical Sundanese kingdom of Panjalu in West Java, Indonesia.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99b37c081908c13e0b4cca52aa4 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:17 p.m.