Triple
T1972078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perlis |
E42822
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chuping
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
|
E220282
|
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: Chuping | Statement: [Perlis, contains, Chuping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuping Context triple: [Perlis, contains, Chuping]
-
A.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
B.
Xiaochang
Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
-
C.
Dehong
Dehong is an autonomous prefecture in southwestern China’s Yunnan Province, known for its ethnic diversity and location along the border with Myanmar.
-
D.
Honghe
Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
-
E.
Mengjiang
Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
- 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: Chuping Triple: [Perlis, contains, Chuping]
Generated description
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chuping Target entity description: Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
-
A.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
B.
Xiaochang
Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
-
C.
Dehong
Dehong is an autonomous prefecture in southwestern China’s Yunnan Province, known for its ethnic diversity and location along the border with Myanmar.
-
D.
Honghe
Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
-
E.
Mengjiang
Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f275408190affa93f8cb6a8184 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbdb5d7c8190ab3e7c368041c641 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfcae8a348190aa5688d0d183c323 |
completed | March 8, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd713c4081908a2fae2fada76dae |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:36 p.m.