Triple
T6291687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got Money |
E141032
|
entity |
| Predicate | producer |
P490
|
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: [Got Money, producer, Bangladesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangladesh Context triple: [Got Money, producer, 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ee96c48190afe3f42477f38856 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:27 p.m.