Triple
T2406792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai Airways International |
E50293
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Chiang Mai |
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: Chiang Mai | Statement: [Thai Airways International, focusCity, Chiang Mai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiang Mai Context triple: [Thai Airways International, focusCity, Chiang Mai]
-
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.
Hat Yai
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
C.
Bangkok
Bangkok is the vibrant capital and largest city of Thailand, known for its bustling street life, ornate temples, and role as a major economic and cultural hub in Southeast Asia.
-
D.
Chiang Mai Province
Chiang Mai Province is a mountainous region in northern Thailand known for its historic temples, rich Lanna culture, and popular tourism centered around the city of Chiang Mai.
-
E.
Pattaya
Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fcd3008190b27325e6829ae7ce |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af177b898c8190bee910be75e93f6c |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:58 p.m.