Triple
T12384928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupsha River |
E295837
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | Bangladesh Standard Time |
E137505
|
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: Bangladesh Standard Time | Statement: [Rupsha River, locatedInTimeZone, Bangladesh Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangladesh Standard Time Context triple: [Rupsha River, locatedInTimeZone, Bangladesh Standard Time]
-
A.
Bangladesh Standard Time
chosen
Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
-
B.
Myanmar Standard Time
Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
-
C.
Indian Standard Time
Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
-
D.
Brunei Darussalam Time
Brunei Darussalam Time is the standard time zone used throughout Brunei, set at UTC+8 with no daylight saving time.
-
E.
Pakistan Standard Time
Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.