Triple

T1410403
Position Surface form Disambiguated ID Type / Status
Subject Indian gazelle E31789 entity
Predicate nativeTo P410 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: [Indian gazelle, nativeTo, Bangladesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladesh
Context triple: [Indian gazelle, nativeTo, 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e0bfd08190a50820bc7585c28f completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace578fe4c8190a4d4ced933fac0b6 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.