Triple
T13303498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiqihar |
E316873
|
entity |
| Predicate | administrativeDivisionOf |
P747
|
FINISHED |
| Object |
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
|
E1083423
|
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: Jianhua District | Statement: [Qiqihar, administrativeDivisionOf, Jianhua District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jianhua District Context triple: [Qiqihar, administrativeDivisionOf, Jianhua District]
-
A.
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.
-
B.
Chengzhong District
Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
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.
- 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: Jianhua District Triple: [Qiqihar, administrativeDivisionOf, Jianhua District]
Generated description
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jianhua District Target entity description: Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
A.
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.
-
B.
Chengzhong District
Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
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.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ce06488190b18e48dfba240024 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd033550c8819081efffedd3beaa71 |
completed | May 7, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd03f8ea2c8190a30cb7d5840db757 |
completed | May 7, 2026, 9:28 p.m. |
Created at: April 9, 2026, 9:28 p.m.