Triple
T15642802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan High Speed Rail Banqiao Station |
E376107
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Zuoying
Zuoying is a district in Kaohsiung, Taiwan, known as a major transportation hub and gateway to southern Taiwan via the high-speed rail network.
|
E1168182
|
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: Zuoying | Statement: [Taiwan High Speed Rail Banqiao Station, connectsTo, Zuoying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuoying Context triple: [Taiwan High Speed Rail Banqiao Station, connectsTo, Zuoying]
-
A.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
B.
Wenzheng
Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
-
C.
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.
-
D.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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: Zuoying Triple: [Taiwan High Speed Rail Banqiao Station, connectsTo, Zuoying]
Generated description
Zuoying is a district in Kaohsiung, Taiwan, known as a major transportation hub and gateway to southern Taiwan via the high-speed rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zuoying Target entity description: Zuoying is a district in Kaohsiung, Taiwan, known as a major transportation hub and gateway to southern Taiwan via the high-speed rail network.
-
A.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
B.
Wenzheng
Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
-
C.
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.
-
D.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4d49188190855a895c5844dee0 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff614906cc81909d978d8645045af3 |
completed | May 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff61b3b3f08190a2a1e1010684a316 |
completed | May 9, 2026, 4:32 p.m. |
Created at: April 10, 2026, 4:15 a.m.