Triple
T15642324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yilan County |
E376097
|
entity |
| Predicate | hasHotSpringArea |
P1094
|
FINISHED |
| Object |
Su’ao
Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
|
E1170897
|
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: Su’ao | Statement: [Yilan County, hasHotSpringArea, Su’ao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Su’ao Context triple: [Yilan County, hasHotSpringArea, Su’ao]
-
A.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
-
B.
Liwan Dusun
Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
-
C.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
-
D.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
E.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
- 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: Su’ao Triple: [Yilan County, hasHotSpringArea, Su’ao]
Generated description
Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Su’ao Target entity description: Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
-
A.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
-
B.
Liwan Dusun
Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
-
C.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
-
D.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
E.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
- 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_69ff6ed079e48190b86ad7b66755fc1c |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6fa2b0b881908fa7af973ee0bb6f |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff707d1db4819097aa9402ce0abb97 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:15 a.m.