Triple
T7559869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh Larn |
E178766
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Pattaya City area |
E34008
|
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: Pattaya City area | Statement: [Koh Larn, partOf, Pattaya City area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pattaya City area Context triple: [Koh Larn, partOf, Pattaya City area]
-
A.
Pattaya
chosen
Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
-
B.
Hua Hin
Hua Hin is a popular seaside resort town on the Gulf of Thailand, known for its beaches, royal residences, and relaxed coastal atmosphere.
-
C.
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.
-
D.
Bangkok Metropolitan Region
The Bangkok Metropolitan Region is Thailand’s largest urban agglomeration, centered on the capital city of Bangkok and encompassing its surrounding provinces as a major political, economic, and cultural hub.
-
E.
Bangkok Province
Bangkok Province is Thailand’s capital and most populous urban province, serving as the country’s political, economic, and cultural center.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4ed90808190852ca09c06a3dc3d |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 3:50 p.m.