Triple
T20455011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylhet railway station |
E501751
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Comilla |
—
|
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: Comilla | Statement: [Sylhet railway station, connectsTo, Comilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comilla Context triple: [Sylhet railway station, connectsTo, Comilla]
-
A.
Comilla
chosen
Comilla is a major city in eastern Bangladesh known for its historical sites, educational institutions, and role as a regional commercial hub.
-
B.
Faridpur
Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
-
C.
Barisal
Barisal is a major city in southern Bangladesh, historically known as a cultural and riverine hub of the Bengal region.
-
D.
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.
-
E.
Chattogram District
Chattogram District is a major administrative and commercial region in southeastern Bangladesh that includes the country’s principal port city of Chattogram.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a0dd188190ab6cbb387d9c0c1d |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.