Triple
T13320937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinan Yaoqiang International Airport |
E317311
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Yaoqiang
Yaoqiang is the locality in Jinan, Shandong Province, China, whose name is used for Jinan Yaoqiang International Airport.
|
E1032921
|
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: Yaoqiang | Statement: [Jinan Yaoqiang International Airport, namedAfter, Yaoqiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaoqiang Context triple: [Jinan Yaoqiang International Airport, namedAfter, Yaoqiang]
-
A.
Qiang Ji
Qiang Ji is a paleontologist known for his work on early mammalian fossils, including the description of the Cretaceous mammal Eomaia.
-
B.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
C.
Yingchao
Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
-
D.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
E.
Zhang Mo
Zhang Mo is a Chinese actor and film director, best known as the son of acclaimed filmmaker Zhang Yimou and for his roles in Chinese television dramas and films.
- 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: Yaoqiang Triple: [Jinan Yaoqiang International Airport, namedAfter, Yaoqiang]
Generated description
Yaoqiang is the locality in Jinan, Shandong Province, China, whose name is used for Jinan Yaoqiang International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yaoqiang Target entity description: Yaoqiang is the locality in Jinan, Shandong Province, China, whose name is used for Jinan Yaoqiang International Airport.
-
A.
Qiang Ji
Qiang Ji is a paleontologist known for his work on early mammalian fossils, including the description of the Cretaceous mammal Eomaia.
-
B.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
C.
Yingchao
Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
-
D.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
E.
Zhang Mo
Zhang Mo is a Chinese actor and film director, best known as the son of acclaimed filmmaker Zhang Yimou and for his roles in Chinese television dramas and films.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992ab83c8190982d9f54dff6919f |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b994188190b273cc6116919c22 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:30 p.m.