Triple

T20150678
Position Surface form Disambiguated ID Type / Status
Subject Hindu solar calendar E491425 entity
Predicate usedIn P98 FINISHED
Object Nepal 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: Nepal | Statement: [Hindu solar calendar, usedIn, Nepal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepal
Context triple: [Hindu solar calendar, usedIn, Nepal]
  • A. Nepal chosen
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • B. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • C. Gorkha, Nepal
    Gorkha, Nepal is a historic hill town in central Nepal known as the ancestral home of the Shah dynasty and a significant religious and cultural center.
  • D. Kangru
    Kangru is a small village located within Kiili Parish in northern Estonia.
  • E. Kingdom of Nepal
    The Kingdom of Nepal was a former Himalayan monarchy in South Asia, centered on the Kathmandu Valley, that existed until it became the Federal Democratic Republic of Nepal in 2008.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a1c5848190975b17ab07251f8b completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.