Triple
T23366224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinyuan Township |
E593328
|
entity |
| Predicate | hasPinyinName |
P2508
|
FINISHED |
| Object |
Xīnyuán Xiāng
Xīnyuán Xiāng is the standard Hanyu Pinyin romanization of Xinyuan Township, a township-level administrative division in China.
|
E1583426
|
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: Xīnyuán Xiāng | Statement: [Xinyuan Township, hasPinyinName, Xīnyuán Xiāng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xīnyuán Xiāng Context triple: [Xinyuan Township, hasPinyinName, Xīnyuán Xiāng]
-
A.
Xianghua
Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
-
B.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
E.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
- 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: Xīnyuán Xiāng Triple: [Xinyuan Township, hasPinyinName, Xīnyuán Xiāng]
Generated description
Xīnyuán Xiāng is the standard Hanyu Pinyin romanization of Xinyuan Township, a township-level administrative division in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xīnyuán Xiāng Target entity description: Xīnyuán Xiāng is the standard Hanyu Pinyin romanization of Xinyuan Township, a township-level administrative division in China.
-
A.
Xianghua
Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
-
B.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
E.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ac7494819082e98ac5632eba28 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd964f081909aa71493fe6e07c7 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5f27dbac8190a633ff61bc3321bd |
completed | May 19, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5fd0c4e88190901c08e6c969e7ac |
completed | May 19, 2026, 1:04 p.m. |
Created at: April 17, 2026, 5:31 p.m.