Triple
T17585714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Yuling |
E428315
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yuling
Yuling is a given name most notably borne by Chinese table tennis player Zhu Yuling.
|
E1276516
|
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: Yuling | Statement: [Zhu Yuling, givenName, Yuling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuling Context triple: [Zhu Yuling, givenName, Yuling]
-
A.
Liuhe
Liuhe is a town in Taicang, Jiangsu Province, China, known as a local residential and educational hub within the greater Suzhou region.
-
B.
Lushui
Lushui is a county-level city in Yunnan Province, China, known for its location along the Nujiang (Salween) River amid mountainous, ethnically diverse border regions.
-
C.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
D.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
E.
Huayu
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
- 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: Yuling Triple: [Zhu Yuling, givenName, Yuling]
Generated description
Yuling is a given name most notably borne by Chinese table tennis player Zhu Yuling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuling Target entity description: Yuling is a given name most notably borne by Chinese table tennis player Zhu Yuling.
-
A.
Liuhe
Liuhe is a town in Taicang, Jiangsu Province, China, known as a local residential and educational hub within the greater Suzhou region.
-
B.
Lushui
Lushui is a county-level city in Yunnan Province, China, known for its location along the Nujiang (Salween) River amid mountainous, ethnically diverse border regions.
-
C.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
D.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
E.
Huayu
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddf17144819089c5795fc5f0b1e7 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01df69ccfc81909de6d300e1d72ad1 |
completed | May 11, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e05515d88190b343ebc1aad4a351 |
completed | May 11, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:50 a.m.