Triple
T1564985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang Mai |
E33411
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | เชียงใหม่ |
E33411
|
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: เชียงใหม่ | Statement: [Chiang Mai, nativeName, เชียงใหม่]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: เชียงใหม่ Context triple: [Chiang Mai, nativeName, เชียงใหม่]
-
A.
Chiang Mai
chosen
Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
-
B.
Mae Hong Son Province
Mae Hong Son Province is a mountainous, remote region in northern Thailand known for its significant Karen population, misty landscapes, and forested border with Myanmar.
-
C.
Mandalay
Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
-
D.
Chiengmai
Chiengmai is an alternative spelling of Chiang Mai, a major cultural and historical city in northern Thailand known for its temples and mountainous surroundings.
-
E.
Lashio
Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51af2de8819087d287d65aabbf1a |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.