Triple
T6330686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhaka District |
E141972
|
entity |
| Predicate | hasTimezone |
P3413
|
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: [Dhaka District, hasTimezone, Bangladesh Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangladesh Standard Time Context triple: [Dhaka District, hasTimezone, 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.
Pakistan Standard Time
Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
-
E.
Sri Lanka Standard Time
Sri Lanka Standard Time is the time zone used throughout Sri Lanka, set at UTC+5:30.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06514cbe8819096dbeb17ccb3e3d5 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6041aac948190ad7dd4d5683903ed |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.