Triple
T8705065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anlu |
E206627
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
安陆市
安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
|
E750848
|
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: 安陆市 | Statement: [Anlu, hasChineseName, 安陆市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 安陆市 Context triple: [Anlu, hasChineseName, 安陆市]
-
A.
黄冈市
黄冈市是中国湖北省东部的一座地级市,位于长江中游、与武汉相邻,以其红色革命历史和丰富的自然资源而闻名。
-
B.
房县
房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
-
C.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
-
D.
六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
-
E.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
- 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: 安陆市 Triple: [Anlu, hasChineseName, 安陆市]
Generated description
安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 安陆市 Target entity description: 安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
-
A.
黄冈市
黄冈市是中国湖北省东部的一座地级市,位于长江中游、与武汉相邻,以其红色革命历史和丰富的自然资源而闻名。
-
B.
房县
房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
-
C.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
-
D.
六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
-
E.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fb43f081909df5d1e31cb1ec04 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef423b1c4819081ea887af8f8e576 |
completed | April 2, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69cef622bc58819085db9fc2413b5518 |
completed | April 2, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.