Triple
T8571338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liaocheng |
E202932
|
entity |
| Predicate | hasPinyinName |
P2508
|
FINISHED |
| Object |
Liáochéng
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
|
E765913
|
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: Liáochéng | Statement: [Liaocheng, hasPinyinName, Liáochéng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liáochéng Context triple: [Liaocheng, hasPinyinName, Liáochéng]
-
A.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Rongcheng
Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
-
D.
Rongcheng
Rongcheng is a coastal city in eastern Shandong Province, China, known for its fishing industry, scenic seascapes, and location at the eastern tip of the Shandong Peninsula.
-
E.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
- 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: Liáochéng Triple: [Liaocheng, hasPinyinName, Liáochéng]
Generated description
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liáochéng Target entity description: Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
-
A.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Rongcheng
Rongcheng is a coastal city in eastern Shandong Province, China, known for its fishing industry, scenic seascapes, and location at the eastern tip of the Shandong Peninsula.
-
D.
Rongcheng
Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
-
E.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9f4e2d881908fb539e842c20e8d |
completed | April 3, 2026, 1 p.m. |
| NEDg | Description generation | batch_69cfba99abd88190bd3ec4ea1400f23d |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb86d43c81909090169dfb2f31fb |
completed | April 3, 2026, 1:07 p.m. |
Created at: March 30, 2026, 6:21 p.m.