Triple

T7466951
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E176395 entity
Predicate locatedIn P40 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: [Khulna Division, locatedIn, Bangladesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladesh
Context triple: [Khulna Division, locatedIn, Bangladesh]
  • A. Bangladesh
    Bangladesh is an American record producer and songwriter best known for crafting hit hip-hop tracks for artists like Lil Wayne.
  • B. 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.
  • C. BGD
    BGD is the three-letter ISO 3166-1 alpha-3 country code assigned to Bangladesh.
  • D. Banglar Bani
    Banglar Bani was a prominent Bangladeshi newspaper known for its role in the country’s political and cultural discourse.
  • E. 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.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f589cc81909f25268838c7c964 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346ff7d881909dc2bef5d26d0acf completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:40 p.m.