Triple
T7037107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyama Prasad Mukherjee |
E163411
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Calcutta |
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: Calcutta | Statement: [Shyama Prasad Mukherjee, placeOfBirth, Calcutta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calcutta Context triple: [Shyama Prasad Mukherjee, placeOfBirth, Calcutta]
-
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.
Garden Reach, Calcutta
Garden Reach, Calcutta is a riverside neighborhood in Kolkata, India, historically notable as the exiled residence of Awadh’s last Nawab, Wajid Ali Shah.
-
C.
Chandannagar
Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
-
D.
Dispur
Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
-
E.
Mumbai
Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e221a7988190b6b69782a275abb7 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8bf005c81908fef30e26703da76 |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:36 p.m.