Triple
T21438554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siping |
E528877
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object |
Siping City
Siping City is a prefecture-level city in southwestern Jilin Province, northeastern China, known as a regional hub for agriculture and industry.
|
E1484967
|
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: Siping City | Statement: [Siping, hasShortName, Siping City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siping City Context triple: [Siping, hasShortName, Siping City]
-
A.
Yuzhou City
Yuzhou City is a county-level city in central China's Henan Province, known for its historical significance and cultural heritage, and is administered by the prefecture-level city of Xuchang.
-
B.
Jilin City
Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
-
C.
Ziyang
Ziyang is the art name (courtesy name) of Zhu Xi, the influential Neo-Confucian philosopher of the Southern Song dynasty.
-
D.
Ziyang
Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
-
E.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
- 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: Siping City Triple: [Siping, hasShortName, Siping City]
Generated description
Siping City is a prefecture-level city in southwestern Jilin Province, northeastern China, known as a regional hub for agriculture and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siping City Target entity description: Siping City is a prefecture-level city in southwestern Jilin Province, northeastern China, known as a regional hub for agriculture and industry.
-
A.
Yuzhou City
Yuzhou City is a county-level city in central China's Henan Province, known for its historical significance and cultural heritage, and is administered by the prefecture-level city of Xuchang.
-
B.
Jilin City
Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
-
C.
Ziyang
Ziyang is the art name (courtesy name) of Zhu Xi, the influential Neo-Confucian philosopher of the Southern Song dynasty.
-
D.
Ziyang
Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
-
E.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8140a1fc8190bedf297cfc4d4841 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8ff456481908092ae0af1297aab |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c99200a88190ad13565044dfcac0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca47743081908cf7f9211eeedcc6 |
completed | May 17, 2026, 2:01 p.m. |
Created at: April 16, 2026, 6:04 p.m.