Triple
T10381876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamarpukur |
E244660
|
entity |
| Predicate | connectedByRoadTo |
P11435
|
FINISHED |
| Object | Burdwan |
E127022
|
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: Burdwan | Statement: [Kamarpukur, connectedByRoadTo, Burdwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burdwan Context triple: [Kamarpukur, connectedByRoadTo, Burdwan]
-
A.
Burdwan
chosen
Burdwan is a historic city in the Indian state of West Bengal, known for its cultural heritage, educational institutions, and former status as a major administrative and commercial center.
-
B.
Adityapur
Adityapur is a major industrial township in Jharkhand, India, known for its large concentration of manufacturing and engineering units.
-
C.
Balurghat
Balurghat is a town and district headquarters in the Dakshin Dinajpur district of the Indian state of West Bengal, known for its cultural heritage and proximity to the India–Bangladesh border.
-
D.
Lakhnauti
Lakhnauti is the medieval name of the historic city of Gaur, a major political and cultural center of the Bengal Sultanate in eastern India.
-
E.
Jalukbari
Jalukbari is a locality in Guwahati, Assam, known as an educational hub that hosts institutions such as Gauhati University.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e6f30c88190992242b6e0c43581 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:04 p.m.