Triple
T19103158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advaita Acharya |
E467584
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Shantipur |
—
|
NE NERFINISHED |
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: Shantipur | Statement: [Advaita Acharya, residence, Shantipur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shantipur Context triple: [Advaita Acharya, residence, Shantipur]
-
A.
Jagarnathpur
Jagarnathpur is a town located in Nepal's Madhesh Province, known as one of the region's local administrative and population centers.
-
B.
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.
-
C.
Santipur
chosen
Santipur is a historic town in West Bengal, India, renowned for its traditional handloom sarees and cultural heritage.
-
D.
Bhabanipur
Bhabanipur is an urban legislative assembly constituency in Kolkata, West Bengal, known for being represented by prominent political leader Mamata Banerjee.
-
E.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36f84048190a62c52411eb55411 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.