Triple
T20646332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pabna Peasant Uprisings |
E507364
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Pabna |
—
|
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: Pabna | Statement: [Pabna Peasant Uprisings, location, Pabna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pabna Context triple: [Pabna Peasant Uprisings, location, Pabna]
-
A.
Pabna
chosen
Pabna is a town and district in present-day Bangladesh, historically part of British India's Bengal region and known for its role in agrarian movements and regional administration.
-
B.
Lakhipur
Lakhipur is a notable town in the Indian state of Assam, recognized as one of the main urban centers within Cachar district.
-
C.
Kishoreganj
Kishoreganj is a town and district headquarters in central Bangladesh known for its agricultural economy, riverine landscape, and cultural heritage.
-
D.
Dinajpur
Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
-
E.
Naogaon
Naogaon is a town in northwestern Bangladesh known as the administrative and commercial center of Naogaon District, situated within the Rajshahi Division.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.