Triple
T9942097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chonburi Province |
E194107
|
entity |
| Predicate | containsTouristDestination |
P5121
|
FINISHED |
| Object |
Ko Sichang
Ko Sichang is a small island in the Gulf of Thailand known for its relaxed atmosphere, historic royal sites, and scenic coastal views.
|
E830717
|
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: Ko Sichang | Statement: [Chonburi Province, containsTouristDestination, Ko Sichang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko Sichang Context triple: [Chonburi Province, containsTouristDestination, Ko Sichang]
-
A.
Ma Sichun
Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
-
B.
Keqiang
Keqiang is the given name of Li Keqiang, who served as the Premier of the People's Republic of China from 2013 to 2023.
-
C.
Ko Huyong
Ko Huyong is one of the Similan Islands in Thailand, known for its protected status and rich marine life.
-
D.
Yüeh-chih
Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
-
E.
Chongde
Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
- 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: Ko Sichang Triple: [Chonburi Province, containsTouristDestination, Ko Sichang]
Generated description
Ko Sichang is a small island in the Gulf of Thailand known for its relaxed atmosphere, historic royal sites, and scenic coastal views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ko Sichang Target entity description: Ko Sichang is a small island in the Gulf of Thailand known for its relaxed atmosphere, historic royal sites, and scenic coastal views.
-
A.
Ma Sichun
Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
-
B.
Keqiang
Keqiang is the given name of Li Keqiang, who served as the Premier of the People's Republic of China from 2013 to 2023.
-
C.
Ko Huyong
Ko Huyong is one of the Similan Islands in Thailand, known for its protected status and rich marine life.
-
D.
Yüeh-chih
Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
-
E.
Chongde
Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
- F. None of above. chosen
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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22911a9ac81909caa2afb30e4860b |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d22ad44b748190a774a2b2f8d5fabf |
completed | April 5, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22b37ce8481909a52a144605d44a4 |
completed | April 5, 2026, 9:28 a.m. |
Created at: March 30, 2026, 8:44 p.m.