Triple
T3477803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumbini |
E73415
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | Nepal Time |
E173520
|
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: Nepal Time | Statement: [Lumbini, timeZone, Nepal Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nepal Time Context triple: [Lumbini, timeZone, Nepal Time]
-
A.
Nepal Time
chosen
Nepal Time is the standard time zone of Nepal, set at UTC+5:45 and used nationwide including in the capital, Kathmandu.
-
B.
Afghanistan Time
Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
-
C.
Myanmar Standard Time
Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
-
D.
Anadyr Time
Anadyr Time is the time zone used in Russia’s far northeastern regions, including Chukotka and parts of the Russian Far East, offset well ahead of Coordinated Universal Time.
-
E.
Madras Time
Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5b7584819096eadd1c5268eab1 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681822488190a9876a21236f9aa3 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.