Triple
T9465377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give Me Love (Give Me Peace on Earth) |
E228256
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Bangla Desh |
E591423
|
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: Bangla Desh | Statement: [Give Me Love (Give Me Peace on Earth), follows, Bangla Desh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangla Desh Context triple: [Give Me Love (Give Me Peace on Earth), follows, Bangla Desh]
-
A.
Bangladesh
chosen
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)
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.
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.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdad3c4819083b06f1b45acc85a |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122b1440c81909de61d4e72eb93f4 |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:53 p.m.