Triple
T20644328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylhet Division |
E507311
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Srimangal |
—
|
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: Srimangal | Statement: [Sylhet Division, hasNotablePlace, Srimangal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srimangal Context triple: [Sylhet Division, hasNotablePlace, Srimangal]
-
A.
Srimangal
chosen
Srimangal is a town in northeastern Bangladesh renowned for its lush tea gardens, natural beauty, and proximity to major eco-tourism sites.
-
B.
Buthidaung
Buthidaung is a town in Myanmar’s Rakhine State, known for its ethnically diverse population and proximity to the border with Bangladesh.
-
C.
Tharrawaddy
Tharrawaddy was a 19th-century Burmese prince who later became King of the Konbaung Dynasty in Myanmar.
-
D.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
E.
Sittwe
Sittwe is a coastal city in western Myanmar that has been a focal point of political unrest and ethnic tensions, including major protests during the Saffron Revolution.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.