Triple
T22315465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuchi Township |
E551627
|
entity |
| Predicate | hasLakeShoreSettlement |
P92983
|
FINISHED |
| Object |
Xuanguang
Xuanguang is a lakeside settlement located within Yuchi Township in Taiwan’s Sun Moon Lake area.
|
E1530067
|
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: Xuanguang | Statement: [Yuchi Township, hasLakeShoreSettlement, Xuanguang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xuanguang Context triple: [Yuchi Township, hasLakeShoreSettlement, Xuanguang]
-
A.
Rongguang
Rongguang is a Chinese given name notably borne by martial artist and actor Yu Rongguang.
-
B.
Huangguang
Huangguang was a historical Chinese era name used during the reign of the Northern Wei ruler Tuoba Gui (Emperor Daowu).
-
C.
Liangguang
Liangguang was a historical administrative region of imperial China encompassing the provinces of Guangdong and Guangxi in the country’s southeast.
-
D.
Guangyi
Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
E.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
- 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: Xuanguang Triple: [Yuchi Township, hasLakeShoreSettlement, Xuanguang]
Generated description
Xuanguang is a lakeside settlement located within Yuchi Township in Taiwan’s Sun Moon Lake area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xuanguang Target entity description: Xuanguang is a lakeside settlement located within Yuchi Township in Taiwan’s Sun Moon Lake area.
-
A.
Rongguang
Rongguang is a Chinese given name notably borne by martial artist and actor Yu Rongguang.
-
B.
Huangguang
Huangguang was a historical Chinese era name used during the reign of the Northern Wei ruler Tuoba Gui (Emperor Daowu).
-
C.
Liangguang
Liangguang was a historical administrative region of imperial China encompassing the provinces of Guangdong and Guangxi in the country’s southeast.
-
D.
Guangyi
Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
E.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1575287688190aa642bb49b24f5a1 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acca7cc988190a88897e9f71ea79c |
completed | May 18, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_6a0acd7bfb4c81909475874f808887c0 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace029b74819086a545100e8a8f8a |
completed | May 18, 2026, 8:29 a.m. |
Created at: April 16, 2026, 8:42 p.m.