Triple

T8124342
Position Surface form Disambiguated ID Type / Status
Subject Bhimsen Thapa E189685 entity
Predicate servedUnder P258 FINISHED
Object King Rajendra Bikram Shah E361528 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: King Rajendra Bikram Shah | Statement: [Bhimsen Thapa, servedUnder, King Rajendra Bikram Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Rajendra Bikram Shah
Context triple: [Bhimsen Thapa, servedUnder, King Rajendra Bikram Shah]
  • A. Maharaja Rana
    Maharaja Rana was the hereditary royal title borne by the sovereign rulers of the princely state of Porbandar in pre-independence India.
  • B. Ananda Malla
    Ananda Malla was a medieval Malla dynasty ruler credited with establishing the historic city-state of Bhaktapur in the Kathmandu Valley of Nepal.
  • C. King of Nepal chosen
    The King of Nepal was the former hereditary monarch and head of state of Nepal until the abolition of the monarchy in 2008.
  • D. Prithvi Narayan Shah
    Prithvi Narayan Shah was the first King of unified Nepal, renowned for consolidating numerous small kingdoms into a single nation in the 18th century.
  • E. King Chattergy
    King Chattergy is a fictional monarch in Salman Rushdie’s novel "Haroun and the Sea of Stories," ruling the fantastical realm of Gup.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438d3f408190a0367daf0fbca9d2 completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced122cf08190b9cf17c3055e5431 completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:34 p.m.