Triple
T7296326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia district |
E164529
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
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.
|
E678627
|
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: Karimpur | Statement: [Nadia district, containsTown, Karimpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karimpur Context triple: [Nadia district, containsTown, Karimpur]
-
A.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
-
B.
Jangipur
Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
-
C.
Jhanjharpur
Jhanjharpur is a town in the Madhubani district of Bihar, India, known for its role as a local commercial and transportation hub in the Mithila region.
-
D.
Dubrajpur
Dubrajpur is a small town in the Birbhum district of West Bengal, India, known for its nearby historic temples and distinctive rock formations.
-
E.
Shibpur
Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
- 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: Karimpur Triple: [Nadia district, containsTown, Karimpur]
Generated description
Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karimpur Target entity description: Karimpur is a town in the Indian state of West Bengal, known as a local center of trade and education in the Nadia region.
-
A.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
-
B.
Jangipur
Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
-
C.
Jhanjharpur
Jhanjharpur is a town in the Madhubani district of Bihar, India, known for its role as a local commercial and transportation hub in the Mithila region.
-
D.
Dubrajpur
Dubrajpur is a small town in the Birbhum district of West Bengal, India, known for its nearby historic temples and distinctive rock formations.
-
E.
Shibpur
Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87061cbe48190b82b8d3364788b97 |
completed | March 29, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69c873a335708190b50ca7a22a36c646 |
completed | March 29, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87401aaa48190b3e44298fcd3f37f |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 3 p.m.