Triple
T6302539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhaka Division |
E141290
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dhaka District |
E141972
|
NE FINISHED |
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: Dhaka District | Statement: [Dhaka Division, contains, Dhaka District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhaka District Context triple: [Dhaka Division, contains, Dhaka District]
-
A.
Dhaka District
chosen
Dhaka District is an administrative region in central Bangladesh that encompasses the nation’s capital city and serves as a major political, economic, and cultural hub.
-
B.
Dhaka Division
Dhaka Division is an administrative region in central Bangladesh that includes the nation’s capital and serves as a major political, economic, and cultural hub.
-
C.
Gazipur District
Gazipur District is an important industrial and suburban area of central Bangladesh known for its garment factories, educational institutions, and proximity to the capital, Dhaka.
-
D.
Rangpur
Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
-
E.
Narayanganj District
Narayanganj District is an industrially important and densely populated district in central Bangladesh, known especially for its textile and jute industries and its proximity to the capital, Dhaka.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645cfca88190ace060ef5b0e00e8 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673f891d08190ad10070bc3a71d76 |
completed | March 27, 2026, 12:11 p.m. |
Created at: March 22, 2026, 4:27 p.m.