Triple

T2249488
Position Surface form Disambiguated ID Type / Status
Subject University of Dhaka E49583 entity
Predicate country P26 FINISHED
Object Bangladesh E14165 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: Bangladesh | Statement: [University of Dhaka, country, Bangladesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladesh
Context triple: [University of Dhaka, country, Bangladesh]
  • A. People's Republic of Bangladesh (from East Pakistan) chosen
    The People's Republic of Bangladesh is a South Asian nation that emerged in 1971 after a war of independence, becoming a sovereign state with its capital in Dhaka and a predominantly Bengali Muslim population.
  • B. BGD
    BGD is the three-letter ISO 3166-1 alpha-3 country code assigned to Bangladesh.
  • C. Myanmar
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • D. Nepal
    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.
  • E. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ef74988190a0af51d983cf5658 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1948cc8190921b9fcc12c28db0 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.