Triple
T961637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Presidency |
E20747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Murshidabad |
E66134
|
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: Murshidabad | Statement: [Bengal Presidency, contains, Murshidabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murshidabad Context triple: [Bengal Presidency, contains, Murshidabad]
-
A.
Murshidabad
chosen
Murshidabad is a historic city in West Bengal, India, that served as the capital of the Nawabs of Bengal and a major political and commercial center during the Mughal and early British periods.
-
B.
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.
-
C.
Barrackpore
Barrackpore is a historic cantonment town in West Bengal, India, notable as an early British military base and a key site in the events leading up to the Indian Rebellion of 1857.
-
D.
Faizabad
Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
-
E.
Khuldabad
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd72fe88190a7cdfe1afc123edd |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.