Triple
T22672015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinajpur Railway Station |
E560241
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Dinajpur |
—
|
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: Dinajpur | Statement: [Dinajpur Railway Station, serves, Dinajpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinajpur Context triple: [Dinajpur Railway Station, serves, Dinajpur]
-
A.
Dinajpur
chosen
Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
-
B.
Pabna
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.
-
C.
Naogaon
Naogaon is a town in northwestern Bangladesh known as the administrative and commercial center of Naogaon District, situated within the Rajshahi Division.
-
D.
Gaibandha
Gaibandha is a town and district headquarters in northern Bangladesh known for its agricultural economy and proximity to the Jamuna and Teesta rivers.
-
E.
Kurigram District
Kurigram District is a northern administrative region of Bangladesh known for its rural landscape along the Brahmaputra River and frequent flooding.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.