Triple
T5264982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pabna |
E118916
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sirajganj District |
E264217
|
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: Sirajganj District | Statement: [Pabna, borderedBy, Sirajganj District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirajganj District Context triple: [Pabna, borderedBy, Sirajganj District]
-
A.
Sirajganj
chosen
Sirajganj is a city in north-central Bangladesh known as a key river port and commercial hub on the banks of the Jamuna River.
-
B.
Faridpur
Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
-
C.
Ishwardi Upazila
Ishwardi Upazila is an administrative sub-district in western Bangladesh known for its agricultural significance and important railway junction.
-
D.
Chandpur District
Chandpur District is a riverine administrative region in eastern Bangladesh known for its strategic location at major river confluences and its prominence in fishing and agriculture.
-
E.
Mymensingh
Mymensingh is a historic city and district in central Bangladesh, known as an important administrative, educational, and cultural center along the Brahmaputra River.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bf89ae481908835b711fb2696fd |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21ab5bc481909a8f2f5d1aaeb111 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:51 p.m.