Triple
T5811208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotan |
E128870
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Yutian
Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
|
E554434
|
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: Yutian | Statement: [Hotan, historicalName, Yutian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yutian Context triple: [Hotan, historicalName, Yutian]
-
A.
Daiyuan
Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
-
B.
Yecheng
Yecheng was an important ancient Chinese city that served as a major political and cultural center in northern China during several dynasties.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Wuyuan
Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
-
E.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
- 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: Yutian Triple: [Hotan, historicalName, Yutian]
Generated description
Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yutian Target entity description: Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
-
A.
Daiyuan
Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
-
B.
Yecheng
Yecheng was an important ancient Chinese city that served as a major political and cultural center in northern China during several dynasties.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Wuyuan
Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
-
E.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0e20c208190b861fa8066852efc |
completed | March 23, 2026, 3:17 a.m. |
| NEDg | Description generation | batch_69c0b49e1c008190b503d76e0c9397d3 |
completed | March 23, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b4f3ec388190b742449beccf82ef |
completed | March 23, 2026, 3:35 a.m. |
Created at: March 22, 2026, 3:52 p.m.