Triple
T13951239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liyang |
E335527
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Lìyáng
Lìyáng is a Chinese place name rendered in pinyin, most commonly referring to a county-level city in Jiangsu Province, China.
|
E1071511
|
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: Lìyáng | Statement: [Liyang, romanization, Lìyáng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lìyáng Context triple: [Liyang, romanization, Lìyáng]
-
A.
Luòyáng
Luòyáng is an ancient Chinese city in Henan Province that served as the capital for multiple dynasties and is renowned as one of the cradles of Chinese civilization.
-
B.
Liúyáng
Liúyáng is the Hanyu Pinyin romanization of the Chinese city name Liuyang, located in Hunan Province, China.
-
C.
Lüliang
Lüliang is a prefecture-level city in western Shanxi Province, China, known for its mountainous terrain and significant coal and energy resources.
-
D.
Pingcheng
Pingcheng was an important ancient Chinese city that served as the early capital of the Northern Wei dynasty, located near present-day Datong in Shanxi Province.
-
E.
Xianyang
Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
- 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: Lìyáng Triple: [Liyang, romanization, Lìyáng]
Generated description
Lìyáng is a Chinese place name rendered in pinyin, most commonly referring to a county-level city in Jiangsu Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lìyáng Target entity description: Lìyáng is a Chinese place name rendered in pinyin, most commonly referring to a county-level city in Jiangsu Province, China.
-
A.
Luòyáng
Luòyáng is an ancient Chinese city in Henan Province that served as the capital for multiple dynasties and is renowned as one of the cradles of Chinese civilization.
-
B.
Liúyáng
Liúyáng is the Hanyu Pinyin romanization of the Chinese city name Liuyang, located in Hunan Province, China.
-
C.
Lüliang
Lüliang is a prefecture-level city in western Shanxi Province, China, known for its mountainous terrain and significant coal and energy resources.
-
D.
Pingcheng
Pingcheng was an important ancient Chinese city that served as the early capital of the Northern Wei dynasty, located near present-day Datong in Shanxi Province.
-
E.
Xianyang
Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cca84881909c7733bbc2609eea |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.