Triple

T15553406
Position Surface form Disambiguated ID Type / Status
Subject संघीय संसद E370807 entity
Predicate locatedInCountry P40 FINISHED
Object नेपाल E15177 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: नेपाल | Statement: [संघीय संसद, locatedInCountry, नेपाल]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: नेपाल
Context triple: [संघीय संसद, locatedInCountry, नेपाल]
  • 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. Kinanie
    Kinanie is a small urban center in Kenya located near the Athi River settlements, serving as a local hub for residents and surrounding communities.
  • D. 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.
  • E. Chini
    Chini is a town that is twinned with Günzburg, Germany, as part of an international municipal partnership.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67830b4c8190a8c3f2168d8c2ec7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:09 a.m.