Triple
T17592637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baise |
E428483
|
entity |
| Predicate | hasCountyLevelDivision |
P747
|
FINISHED |
| Object |
Tianyang District
Tianyang District is an administrative district under the jurisdiction of Baise City in the Guangxi Zhuang Autonomous Region of southern China.
|
E1355426
|
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: Tianyang District | Statement: [Baise, hasCountyLevelDivision, Tianyang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianyang District Context triple: [Baise, hasCountyLevelDivision, Tianyang District]
-
A.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
B.
Tiefeng District
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
-
C.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
E.
Tianjia'an District
Tianjia'an District is an urban administrative district and the central area of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
- 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: Tianyang District Triple: [Baise, hasCountyLevelDivision, Tianyang District]
Generated description
Tianyang District is an administrative district under the jurisdiction of Baise City in the Guangxi Zhuang Autonomous Region of southern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tianyang District Target entity description: Tianyang District is an administrative district under the jurisdiction of Baise City in the Guangxi Zhuang Autonomous Region of southern China.
-
A.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
B.
Tiefeng District
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
-
C.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
E.
Tianjia'an District
Tianjia'an District is an urban administrative district and the central area of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e89acc81908e52138ad4f452c6 |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c53165b8819084de86f43bee9d41 |
completed | May 14, 2026, 12:50 p.m. |
| NEDg | Description generation | batch_6a05c5faf4ec81909b53c03668852872 |
completed | May 14, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c6578a2081908d03d3d86e56a157 |
completed | May 14, 2026, 12:55 p.m. |
Created at: April 10, 2026, 5:51 a.m.