Triple
T6354578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashutosh Mukherjee |
E142958
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Bengal |
E4840
|
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: Bengal | Statement: [Ashutosh Mukherjee, region, Bengal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bengal Context triple: [Ashutosh Mukherjee, region, Bengal]
-
A.
Bengal
chosen
Bengal is a historical and cultural region in the eastern part of the Indian subcontinent, known for its rich literary, artistic, and political heritage and now divided between Bangladesh and the Indian state of West Bengal.
-
B.
Banga
Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
-
C.
Banga
Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
-
D.
Banga
Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
-
E.
Banga
Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6045e03e88190a8607e5d73c812bc |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.