Triple
T10667461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rueil-Malmaison |
E251392
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Yuanlin
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
|
E877534
|
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: Yuanlin | Statement: [Rueil-Malmaison, hasTwinTown, Yuanlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuanlin Context triple: [Rueil-Malmaison, hasTwinTown, Yuanlin]
-
A.
Xinyi Township
Xinyi Township is a mountainous rural township in Nantou County, central Taiwan, known for its indigenous communities, high-altitude agriculture, and scenic natural landscapes.
-
B.
Ruifang District
Ruifang District is a coastal and mountainous district in northeastern Taiwan known for its historic mining towns, scenic railways, and popular tourist spots like Jiufen and Shifen.
-
C.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
D.
Yunlin County
Yunlin County is a largely rural county in western Taiwan known for its extensive agricultural production and traditional cultural heritage.
-
E.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
- 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: Yuanlin Triple: [Rueil-Malmaison, hasTwinTown, Yuanlin]
Generated description
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuanlin Target entity description: Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
-
A.
Xinyi Township
Xinyi Township is a mountainous rural township in Nantou County, central Taiwan, known for its indigenous communities, high-altitude agriculture, and scenic natural landscapes.
-
B.
Ruifang District
Ruifang District is a coastal and mountainous district in northeastern Taiwan known for its historic mining towns, scenic railways, and popular tourist spots like Jiufen and Shifen.
-
C.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
D.
Yunlin County
Yunlin County is a largely rural county in western Taiwan known for its extensive agricultural production and traditional cultural heritage.
-
E.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f3204bac8190b9bd8bfcc705b06b |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
| NEDg | Description generation | batch_69d97df755708190bf71d04ead7eaa2c |
completed | April 10, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e96d9888190ba693e1df7eb502d |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 8, 2026, 9:08 p.m.