Triple
T1851145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanggang |
E41595
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Xinyang
Xinyang is a prefecture-level city in southeastern Henan Province, China, known for its tea production and location near the Dabie Mountains.
|
E293862
|
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: Xinyang | Statement: [Huanggang, borders, Xinyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinyang Context triple: [Huanggang, borders, Xinyang]
-
A.
Liuyang
Liuyang is a county-level city in Hunan Province, China, known for its fireworks industry and cultural heritage.
-
B.
Shangqiu
Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
-
C.
Hanchuan
Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
-
D.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
E.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
- 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: Xinyang Triple: [Huanggang, borders, Xinyang]
Generated description
Xinyang is a prefecture-level city in southeastern Henan Province, China, known for its tea production and location near the Dabie Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinyang Target entity description: Xinyang is a prefecture-level city in southeastern Henan Province, China, known for its tea production and location near the Dabie Mountains.
-
A.
Liuyang
Liuyang is a county-level city in Hunan Province, China, known for its fireworks industry and cultural heritage.
-
B.
Shangqiu
Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
-
C.
Hanchuan
Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
-
D.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
E.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06829b081908767b3df5524c7d4 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb65e6d588190ad1a33a92785fd91 |
completed | March 10, 2026, 6:12 a.m. |
| NEDg | Description generation | batch_69afb8d9d6008190a65b113bd477774f |
completed | March 10, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb95468c88190929c736cef8c50d5 |
completed | March 10, 2026, 6:25 a.m. |
Created at: March 4, 2026, 7:33 p.m.