Triple
T22321395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardhaman district |
E551794
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pandabeswar
Pandabeswar is a town and coal mining region in West Bengal, India, known for its collieries and industrial activity.
|
E1531921
|
NE FINISHED |
How this triple was built (4 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: Pandabeswar | Statement: [Bardhaman district, contains, Pandabeswar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandabeswar Context triple: [Bardhaman district, contains, Pandabeswar]
-
A.
Bikapur
Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
-
B.
Baruipur
Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
-
C.
Bhadreswar
Bhadreswar is a town in the Indian state of West Bengal, known for its location along the Hooghly River and its historical jute mills and industrial heritage.
-
D.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
E.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pandabeswar Triple: [Bardhaman district, contains, Pandabeswar]
Generated description
Pandabeswar is a town and coal mining region in West Bengal, India, known for its collieries and industrial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pandabeswar Target entity description: Pandabeswar is a town and coal mining region in West Bengal, India, known for its collieries and industrial activity.
-
A.
Bikapur
Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
-
B.
Baruipur
Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
-
C.
Bhadreswar
Bhadreswar is a town in the Indian state of West Bengal, known for its location along the Hooghly River and its historical jute mills and industrial heritage.
-
D.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
E.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
- F. None of above. chosen
Provenance (5 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15764d3a48190af79ce4642b7f563 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae05223588190b589f63e5c65f50d |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae1285bc88190a0d4eb0672f562ff |
completed | May 18, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae1913ccc8190b6ad98b8df636153 |
completed | May 18, 2026, 9:53 a.m. |
Created at: April 16, 2026, 8:42 p.m.