Triple
T17751042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamata Banerjee |
E443110
|
entity |
| Predicate | constituencyRepresented |
P192
|
FINISHED |
| Object |
Bhabanipur
Bhabanipur is an urban legislative assembly constituency in Kolkata, West Bengal, known for being represented by prominent political leader Mamata Banerjee.
|
E1285224
|
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: Bhabanipur | Statement: [Mamata Banerjee, constituencyRepresented, Bhabanipur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhabanipur Context triple: [Mamata Banerjee, constituencyRepresented, Bhabanipur]
-
A.
Gopiballavpur
Gopiballavpur is a town in the Jhargram district of West Bengal, India, historically notable as the birthplace of the 18th-century Bengal Nawab Alivardi Khan.
-
B.
Karimpur
Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
-
C.
Jagarnathpur
Jagarnathpur is a town located in Nepal's Madhesh Province, known as one of the region's local administrative and population centers.
-
D.
Milkipur
Milkipur is a town and administrative block in the Ayodhya district of Uttar Pradesh, India.
-
E.
Baruipur
Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
- 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: Bhabanipur Triple: [Mamata Banerjee, constituencyRepresented, Bhabanipur]
Generated description
Bhabanipur is an urban legislative assembly constituency in Kolkata, West Bengal, known for being represented by prominent political leader Mamata Banerjee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhabanipur Target entity description: Bhabanipur is an urban legislative assembly constituency in Kolkata, West Bengal, known for being represented by prominent political leader Mamata Banerjee.
-
A.
Gopiballavpur
Gopiballavpur is a town in the Jhargram district of West Bengal, India, historically notable as the birthplace of the 18th-century Bengal Nawab Alivardi Khan.
-
B.
Karimpur
Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
-
C.
Jagarnathpur
Jagarnathpur is a town located in Nepal's Madhesh Province, known as one of the region's local administrative and population centers.
-
D.
Milkipur
Milkipur is a town and administrative block in the Ayodhya district of Uttar Pradesh, India.
-
E.
Baruipur
Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841a401c8190ae1dc0ed7ae4cc26 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a024304d6cc819097666c7f3fd2fd07 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02458aaac88190b62258e1983100f4 |
completed | May 11, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02462830088190b036cca2840c287c |
completed | May 11, 2026, 9:12 p.m. |
Created at: April 10, 2026, 10:10 a.m.