Triple
T7957191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baharampur |
E184769
|
entity |
| Predicate | administrativeCenterOf |
P383
|
FINISHED |
| Object | Murshidabad district |
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 district | Statement: [Baharampur, administrativeCenterOf, Murshidabad district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murshidabad district Context triple: [Baharampur, administrativeCenterOf, Murshidabad district]
-
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.
Shatkhira District
Shatkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its location along the border with India.
-
C.
Narsingdi District
Narsingdi District is an administrative region in central Bangladesh known for its agriculture, textile industries, and proximity to the capital, Dhaka.
-
D.
Bardhaman district
Bardhaman district is a historically significant administrative region in the Indian state of West Bengal, known for its rich cultural heritage, agriculture, and coal-based industrial development.
-
E.
Narayanganj District
Narayanganj District is an industrially important and densely populated district in central Bangladesh, known especially for its textile and jute industries and its proximity to the capital, Dhaka.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc565efef48190915892c5d8af852c |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:11 p.m.