Triple
T14305532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinhua |
E354684
|
entity |
| Predicate | hasCitySeat |
P15001
|
FINISHED |
| Object |
Wucheng District
Wucheng District is the central urban district and administrative seat of the prefecture-level city of Jinhua in Zhejiang Province, China.
|
E1166737
|
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: Wucheng District | Statement: [Jinhua, hasCitySeat, Wucheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wucheng District Context triple: [Jinhua, hasCitySeat, Wucheng District]
-
A.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
B.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
-
C.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
D.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
E.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern 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: Wucheng District Triple: [Jinhua, hasCitySeat, Wucheng District]
Generated description
Wucheng District is the central urban district and administrative seat of the prefecture-level city of Jinhua in Zhejiang Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wucheng District Target entity description: Wucheng District is the central urban district and administrative seat of the prefecture-level city of Jinhua in Zhejiang Province, China.
-
A.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
B.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
-
C.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
D.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
E.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56afa5ec8190a058574dff7431dc |
completed | May 9, 2026, 3:45 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:12 a.m.