Triple
T15585107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liaoyang |
E374598
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Wensheng District |
—
|
NE ONDG |
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: Wensheng District | Statement: [Liaoyang, administers, Wensheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wensheng District Context triple: [Liaoyang, administers, Wensheng District]
-
A.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
-
B.
Chengdong District
Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
C.
Tiefeng District
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
-
D.
Yunxi District
Yunxi District is an urban administrative district of Yueyang City in Hunan Province, China, known for its location along the Yangtze River and Dongting Lake region.
-
E.
Shizhong District
Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
- 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: Wensheng District Triple: [Liaoyang, administers, Wensheng District]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wensheng District Target entity description: Wensheng District is an urban district within the prefecture-level city of Liaoyang in Liaoning Province, northeastern China.
-
A.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
-
B.
Chengdong District
Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
C.
Tiefeng District
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
-
D.
Yunxi District
Yunxi District is an urban administrative district of Yueyang City in Hunan Province, China, known for its location along the Yangtze River and Dongting Lake region.
-
E.
Shizhong District
Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
- F. None of above. chosen
Provenance (4 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 4:11 a.m.