Triple
T22441613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanhua Creek |
E554766
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Huanhuaxi Park
Huanhuaxi Park is a scenic urban park in Chengdu, China, known for its waterways, lush greenery, and tranquil walking paths.
|
E1537354
|
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: Huanhuaxi Park | Statement: [Huanhua Creek, near, Huanhuaxi Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huanhuaxi Park Context triple: [Huanhua Creek, near, Huanhuaxi Park]
-
A.
Xihui Park
Xihui Park is a historic scenic park in Wuxi, China, known for its classical gardens, temples, and panoramic views of the surrounding city and Lake Tai.
-
B.
Guangqi Park
Guangqi Park was the former name of Shanghai’s historic Fuxing Park, a well-known French-style urban green space in the city’s former French Concession.
-
C.
Lianhuashan Park
Lianhuashan Park is a large urban park in Shenzhen known for its hilltop views of the city skyline and its prominent Deng Xiaoping statue.
-
D.
Zizhuyuan Park
Zizhuyuan Park is a large, scenic urban park in Beijing known for its bamboo groves, lakes, and classical Chinese garden landscapes.
-
E.
Xiaoyushan Park
Xiaoyushan Park is a scenic hilltop park in Qingdao known for its traditional Chinese pavilions and panoramic views of the city and coastline.
- 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: Huanhuaxi Park Triple: [Huanhua Creek, near, Huanhuaxi Park]
Generated description
Huanhuaxi Park is a scenic urban park in Chengdu, China, known for its waterways, lush greenery, and tranquil walking paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huanhuaxi Park Target entity description: Huanhuaxi Park is a scenic urban park in Chengdu, China, known for its waterways, lush greenery, and tranquil walking paths.
-
A.
Xihui Park
Xihui Park is a historic scenic park in Wuxi, China, known for its classical gardens, temples, and panoramic views of the surrounding city and Lake Tai.
-
B.
Guangqi Park
Guangqi Park was the former name of Shanghai’s historic Fuxing Park, a well-known French-style urban green space in the city’s former French Concession.
-
C.
Lianhuashan Park
Lianhuashan Park is a large urban park in Shenzhen known for its hilltop views of the city skyline and its prominent Deng Xiaoping statue.
-
D.
Zizhuyuan Park
Zizhuyuan Park is a large, scenic urban park in Beijing known for its bamboo groves, lakes, and classical Chinese garden landscapes.
-
E.
Xiaoyushan Park
Xiaoyushan Park is a scenic hilltop park in Qingdao known for its traditional Chinese pavilions and panoramic views of the city and coastline.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c7001348190a6959ad5358f2fa4 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d10a50881909fb586a3c529623d |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0daf9bac819086166985458f6742 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:47 p.m.