Triple
T16138725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangcun |
E391596
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object |
黄村
黄村是中国地名中常见的一个村镇名称，通常指位于北京大兴区或其他省市的同名乡镇地区。
|
E1195518
|
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: 黄村 | Statement: [Huangcun, hasNameInChinese, 黄村]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 黄村 Context triple: [Huangcun, hasNameInChinese, 黄村]
-
A.
顾村镇
顾村镇 is a suburban town in Shanghai’s Baoshan District, known for its large Gucun Park and rapidly developing residential and commercial areas.
-
B.
Fuxing Village
Fuxing Village is a small rural settlement located within Nangan Township in Taiwan’s Matsu Islands, known for its coastal scenery and traditional island community.
-
C.
Chen Village
Chen Village is a sociological study by Richard Madsen that examines life, culture, and social change in a rural Chinese community during the Maoist and post-Mao eras.
-
D.
Yantou Village
Yantou Village is a historic riverside village in China known for its traditional architecture and scenic setting along the Nanxi River.
-
E.
黄陂
黄陂是中国湖北省武汉市下辖的一个区，位于长江中游北岸，以其悠久历史和城乡结合的区域特征而闻名。
- 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: 黄村 Triple: [Huangcun, hasNameInChinese, 黄村]
Generated description
黄村是中国地名中常见的一个村镇名称，通常指位于北京大兴区或其他省市的同名乡镇地区。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 黄村 Target entity description: 黄村是中国地名中常见的一个村镇名称，通常指位于北京大兴区或其他省市的同名乡镇地区。
-
A.
顾村镇
顾村镇 is a suburban town in Shanghai’s Baoshan District, known for its large Gucun Park and rapidly developing residential and commercial areas.
-
B.
Fuxing Village
Fuxing Village is a small rural settlement located within Nangan Township in Taiwan’s Matsu Islands, known for its coastal scenery and traditional island community.
-
C.
Chen Village
Chen Village is a sociological study by Richard Madsen that examines life, culture, and social change in a rural Chinese community during the Maoist and post-Mao eras.
-
D.
Yantou Village
Yantou Village is a historic riverside village in China known for its traditional architecture and scenic setting along the Nanxi River.
-
E.
黄陂
黄陂是中国湖北省武汉市下辖的一个区，位于长江中游北岸，以其悠久历史和城乡结合的区域特征而闻名。
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b574148190b9d5b725d7d113af |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 5:01 a.m.