Triple
T7364848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgapur-Asansol industrial belt |
E169843
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Burnpur
Burnpur is an industrial township in West Bengal, India, known primarily for its large steel plant and role in the Durgapur–Asansol industrial region.
|
E686816
|
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: Burnpur | Statement: [Durgapur-Asansol industrial belt, hasUrbanCenter, Burnpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnpur Context triple: [Durgapur-Asansol industrial belt, hasUrbanCenter, Burnpur]
-
A.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
B.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
-
C.
Bolpur
Bolpur is a town in West Bengal, India, best known as the gateway to Santiniketan, the cultural and educational hub founded by Rabindranath Tagore.
-
D.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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: Burnpur Triple: [Durgapur-Asansol industrial belt, hasUrbanCenter, Burnpur]
Generated description
Burnpur is an industrial township in West Bengal, India, known primarily for its large steel plant and role in the Durgapur–Asansol industrial region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burnpur Target entity description: Burnpur is an industrial township in West Bengal, India, known primarily for its large steel plant and role in the Durgapur–Asansol industrial region.
-
A.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
B.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
-
C.
Bolpur
Bolpur is a town in West Bengal, India, best known as the gateway to Santiniketan, the cultural and educational hub founded by Rabindranath Tagore.
-
D.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f161d76081909da6d698fb3d8bb1 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8e3da1c81909088b3769e2dd8d9 |
completed | March 29, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c95056f08190885f3a2ebaa8a1db |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 3:06 p.m.