Triple
T20218536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajshahi Division |
E495189
|
entity |
| Predicate | containsCity |
P294
|
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: [Rajshahi Division, containsCity, Pabna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pabna Context triple: [Rajshahi Division, containsCity, 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.
Dinajpur
Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
-
D.
Gopalganj
Gopalganj is a town and administrative center in the northern Indian state of Bihar, known primarily for its agricultural economy and role as a local commercial hub.
-
E.
Pabna District
Pabna District is an administrative region in western Bangladesh known for its fertile agricultural land, growing industrial sector, and location along major rivers.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edaeeb08190bb74bd4a10aceca2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.