Triple
T22828494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begumganj Upazila |
E565728
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Noakhali region |
—
|
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: Noakhali region | Statement: [Begumganj Upazila, locatedOn, Noakhali region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noakhali region Context triple: [Begumganj Upazila, locatedOn, Noakhali region]
-
A.
Noakhali
chosen
Noakhali is a coastal district in southeastern Bangladesh, historically part of the Bengal region and known for its agrarian economy and vulnerability to cyclones and river erosion.
-
B.
Barisal Division
Barisal Division is an administrative region in southern Bangladesh known for its extensive river networks and deltaic landscape.
-
C.
Sylhet Division
Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
-
D.
Bagerhat District
Bagerhat District is a southwestern district of Bangladesh known for its historic mosques and UNESCO World Heritage–listed medieval city.
-
E.
Satkhira District
Satkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its border with India.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.