Triple
T9125725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myanmar Standard Time |
E218962
|
entity |
| Predicate | IANAZoneIdentifier |
P719
|
FINISHED |
| Object |
Asia/Yangon
Asia/Yangon is the IANA time zone identifier representing the standard time observed in Myanmar, centered on the city of Yangon.
|
E218962
|
NE FINISHED |
How this triple was built (4 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: Asia/Yangon | Statement: [Myanmar Standard Time, IANAZoneIdentifier, Asia/Yangon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asia/Yangon Context triple: [Myanmar Standard Time, IANAZoneIdentifier, Asia/Yangon]
-
A.
Myanmar Standard Time
Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
-
B.
Asia/Ulaanbaatar
Asia/Ulaanbaatar is the primary time zone used in Mongolia’s capital city, Ulaanbaatar, and much of the surrounding region.
-
C.
Indochina Time
Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
-
D.
Asia/Yakutsk
Asia/Yakutsk is the IANA time zone identifier representing Yakutsk Time, used in the Yakutsk region of Russia.
-
E.
Yangon
Yangon is Myanmar’s largest city and former capital, known as a major commercial hub featuring a mix of colonial architecture and prominent Buddhist landmarks like the Shwedagon Pagoda.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asia/Yangon Triple: [Myanmar Standard Time, IANAZoneIdentifier, Asia/Yangon]
Generated description
Asia/Yangon is the IANA time zone identifier representing the standard time observed in Myanmar, centered on the city of Yangon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asia/Yangon Target entity description: Asia/Yangon is the IANA time zone identifier representing the standard time observed in Myanmar, centered on the city of Yangon.
-
A.
Myanmar Standard Time
chosen
Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
-
B.
Asia/Ulaanbaatar
Asia/Ulaanbaatar is the primary time zone used in Mongolia’s capital city, Ulaanbaatar, and much of the surrounding region.
-
C.
Indochina Time
Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
-
D.
Asia/Yakutsk
Asia/Yakutsk is the IANA time zone identifier representing Yakutsk Time, used in the Yakutsk region of Russia.
-
E.
Yangon
Yangon is Myanmar’s largest city and former capital, known as a major commercial hub featuring a mix of colonial architecture and prominent Buddhist landmarks like the Shwedagon Pagoda.
- F. None of above.
Provenance (5 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b8970881909c3b2c67fc131627 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030a1042c8190a31c76638a95a2cf |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0318ef52c8190bfa0bef6a8d41daa |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03571c4648190bd546152c61c55a5 |
completed | April 3, 2026, 9:47 p.m. |
Created at: March 30, 2026, 7:17 p.m.