Triple
T7952408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naklua |
E184646
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | North Pattaya |
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: North Pattaya | Statement: [Naklua, near, North Pattaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Pattaya Context triple: [Naklua, near, North Pattaya]
-
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.
Pattaya Beach
Pattaya Beach is a major resort beach in Thailand known for its vibrant nightlife, water sports, and bustling seaside promenade.
-
C.
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.
-
D.
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.
-
E.
Patong Beach
Patong Beach is Phuket’s most famous resort area, known for its long sandy shoreline, vibrant nightlife, and dense concentration of hotels, bars, and restaurants.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5c95908190b6ee900d2b324574 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc937e687081908ae33ae7335d685e |
completed | April 1, 2026, 3:39 a.m. |
Created at: March 30, 2026, 5:10 p.m.