Triple
T5134581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fengtian |
E115788
|
entity |
| Predicate | romanizationVariant |
P5923
|
FINISHED |
| Object |
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
|
E496849
|
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: Feng-tien | Statement: [Fengtian, romanizationVariant, Feng-tien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feng-tien Context triple: [Fengtian, romanizationVariant, Feng-tien]
-
A.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
-
B.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
C.
Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
-
D.
Tiant
Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
-
E.
Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
- 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: Feng-tien Triple: [Fengtian, romanizationVariant, Feng-tien]
Generated description
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feng-tien Target entity description: Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
A.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
-
B.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
C.
Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
-
D.
Tiant
Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
-
E.
Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784e306081908dd8317227227807 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4cd5e188190b1404cefc887e0b3 |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec571d5948190b659a7b5038f8bdd |
completed | March 21, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec973e71c8190a9c043389d627156 |
completed | March 21, 2026, 4:38 p.m. |
Created at: March 20, 2026, 1:43 p.m.