Triple
T9229813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siksha Bhavana |
E221785
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bolpur |
E135507
|
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: Bolpur | Statement: [Siksha Bhavana, locatedNear, Bolpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolpur Context triple: [Siksha Bhavana, locatedNear, Bolpur]
-
A.
Bolpur
chosen
Bolpur is a town in West Bengal, India, best known as the gateway to Santiniketan, the cultural and educational hub founded by Rabindranath Tagore.
-
B.
Santipur
Santipur is a historic town in West Bengal, India, renowned for its traditional handloom sarees and cultural heritage.
-
C.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
D.
Muktainagar
Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
-
E.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee17a2dc8190b373f78be7247f0d |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c71e206c8190bcc0b7cee01fc765 |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:29 p.m.