Triple
T8967719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | জীবনানন্দ দাশ |
E214179
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | কলকাতা |
E4838
|
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: কলকাতা | Statement: [জীবনানন্দ দাশ, placeOfDeath, কলকাতা]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: কলকাতা Context triple: [জীবনানন্দ দাশ, placeOfDeath, কলকাতা]
-
A.
Calcutta
chosen
Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
-
B.
Dispur
Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
-
C.
Chinsurah
Chinsurah is a historic town in the Hooghly district of West Bengal, India, known for its colonial heritage and educational institutions.
-
D.
Dhaka
Dhaka is the capital and largest city of Bangladesh, serving as the country’s political, economic, and cultural center.
-
E.
Mambai
Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0a753f8819084b952f20997c8d6 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:01 p.m.