Triple
T20103253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizhou |
E496601
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Huicheng District
Huicheng District is the central urban district and administrative, economic, and cultural hub of Huizhou City in Guangdong Province, China.
|
E1533337
|
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: Huicheng District | Statement: [Huizhou, hasSubdivision, Huicheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huicheng District Context triple: [Huizhou, hasSubdivision, Huicheng District]
-
A.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
B.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
C.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern 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: Huicheng District Triple: [Huizhou, hasSubdivision, Huicheng District]
Generated description
Huicheng District is the central urban district and administrative, economic, and cultural hub of Huizhou City in Guangdong Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huicheng District Target entity description: Huicheng District is the central urban district and administrative, economic, and cultural hub of Huizhou City in Guangdong Province, China.
-
A.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
B.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
C.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae99b7ec48190b3ddfe3bf61ab8fb |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea2e16f881909311d0ad4694a7df |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeabfc9a08190b7eefb232ac07ed8 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 11, 2026, 11:27 p.m.