Triple
T7122983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalon Shah |
E165990
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kushtia |
E518414
|
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: Kushtia | Statement: [Lalon Shah, region, Kushtia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kushtia Context triple: [Lalon Shah, region, Kushtia]
-
A.
Kushtia District
chosen
Kushtia District is an administrative region in western Bangladesh known for its cultural heritage, including the shrine of Lalon Shah and associations with Nobel laureate Rabindranath Tagore.
-
B.
Faridpur
Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
-
C.
Jessore
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.
-
D.
Gopalganj
Gopalganj is a town and administrative center in the northern Indian state of Bihar, known primarily for its agricultural economy and role as a local commercial hub.
-
E.
Kishoreganj District
Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ae557881908340cee60c9d7932 |
completed | March 28, 2026, 5:32 p.m. |
Created at: March 27, 2026, 2:44 p.m.