Triple
T5829727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessore |
E129314
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Jessore region |
E129314
|
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: Jessore region | Statement: [Jessore, historicalRegion, Jessore region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessore region Context triple: [Jessore, historicalRegion, Jessore region]
-
A.
Jessore
chosen
Jessore is a historic town and district in southwestern Bangladesh, known as one of the oldest administrative regions in the area and an important center for trade and culture.
-
B.
Satkhira District
Satkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its border with India.
-
C.
Barisal Division
Barisal Division is an administrative region in southern Bangladesh known for its extensive river networks and deltaic landscape.
-
D.
Khulna Division
Khulna Division is an administrative region in southwestern Bangladesh known for the city of Khulna and its proximity to the Sundarbans mangrove forest.
-
E.
Sylhet Division
Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e8061008190bab55d4f7cf38d04 |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:54 p.m.