Triple
T17592628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baise |
E428483
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
百色市
百色市是位于中国广西壮族自治区西部、以革命老区和多民族聚居而闻名的地级市。
|
E1276073
|
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: 百色市 | Statement: [Baise, hasChineseName, 百色市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 百色市 Context triple: [Baise, hasChineseName, 百色市]
-
A.
曲靖市
曲靖市 is a prefecture-level city in eastern Yunnan Province, China, known as an important industrial and transportation hub in the region.
-
B.
Chongzuo
Chongzuo is a prefecture-level city in southern China’s Guangxi region, known for its karst landscapes and location near the border with Vietnam.
-
C.
Yangshuo County
Yangshuo County is a scenic county in southern China famed for its dramatic karst mountains, Li River landscapes, and popularity as a tourist and rock-climbing destination.
-
D.
Shiyan City
Shiyan City is a prefecture-level city in northwestern Hubei Province, China, known as the gateway to the Taoist sacred site of the Wudang Mountains and for its prominent automobile industry.
-
E.
Liuzhou
Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
- 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: 百色市 Triple: [Baise, hasChineseName, 百色市]
Generated description
百色市是位于中国广西壮族自治区西部、以革命老区和多民族聚居而闻名的地级市。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 百色市 Target entity description: 百色市是位于中国广西壮族自治区西部、以革命老区和多民族聚居而闻名的地级市。
-
A.
曲靖市
曲靖市 is a prefecture-level city in eastern Yunnan Province, China, known as an important industrial and transportation hub in the region.
-
B.
Chongzuo
Chongzuo is a prefecture-level city in southern China’s Guangxi region, known for its karst landscapes and location near the border with Vietnam.
-
C.
Yangshuo County
Yangshuo County is a scenic county in southern China famed for its dramatic karst mountains, Li River landscapes, and popularity as a tourist and rock-climbing destination.
-
D.
Shiyan City
Shiyan City is a prefecture-level city in northwestern Hubei Province, China, known as the gateway to the Taoist sacred site of the Wudang Mountains and for its prominent automobile industry.
-
E.
Liuzhou
Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e89acc81908e52138ad4f452c6 |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddf81ea0819080e9324e3e72cc47 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01dee081c081909a6a6cbce547aba8 |
completed | May 11, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01df96182c81909bc3f399ccc589f9 |
completed | May 11, 2026, 1:54 p.m. |
Created at: April 10, 2026, 5:51 a.m.