Triple
T19279303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taishan City |
E482143
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Xinning
Xinning is the former name of Taishan, a county-level city in Guangdong Province, China, known historically as a major source of overseas Chinese emigration.
|
E1367993
|
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: Xinning | Statement: [Taishan City, historicalName, Xinning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinning Context triple: [Taishan City, historicalName, Xinning]
-
A.
Jianning
Jianning was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
B.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
C.
Xiuning
Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
-
D.
Zhishun
Zhishun was a short-lived era name used during the Yuan dynasty in China.
-
E.
Hongyuan
Hongyuan is a Chinese company best known in sports for its long-term title sponsorship of the Guangdong Southern Tigers basketball team.
- 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: Xinning Triple: [Taishan City, historicalName, Xinning]
Generated description
Xinning is the former name of Taishan, a county-level city in Guangdong Province, China, known historically as a major source of overseas Chinese emigration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinning Target entity description: Xinning is the former name of Taishan, a county-level city in Guangdong Province, China, known historically as a major source of overseas Chinese emigration.
-
A.
Jianning
Jianning was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
B.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
C.
Xiuning
Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
-
D.
Zhishun
Zhishun was a short-lived era name used during the Yuan dynasty in China.
-
E.
Hongyuan
Hongyuan is a Chinese company best known in sports for its long-term title sponsorship of the Guangdong Southern Tigers basketball team.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbf817c819098745ed365cda4a9 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e7929a081908362870dcfaeec4c |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ef513888190b8c9f8c2de36f234 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070feb5d948190b8d05d13f250d2ab |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 1:30 p.m.