Triple
T17738763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guigang |
E442794
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Gangbei District
Gangbei District is an urban administrative district that serves as the central area and political hub of Guigang in Guangxi, China.
|
E1368109
|
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: Gangbei District | Statement: [Guigang, capital, Gangbei District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangbei District Context triple: [Guigang, capital, Gangbei District]
-
A.
Shizhong District
Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
-
B.
Daiyue District
Daiyue District is an administrative district under the jurisdiction of Tai'an City in Shandong Province, China, known for encompassing part of the Mount Tai scenic area.
-
C.
Zhanggong District
Zhanggong District is the central urban district and administrative, economic, and cultural core of Ganzhou in Jiangxi Province, China.
-
D.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
E.
Baihe District
Baihe District is a rural district in Tainan, Taiwan, known for its scenic landscapes and popular hot spring resorts.
- 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: Gangbei District Triple: [Guigang, capital, Gangbei District]
Generated description
Gangbei District is an urban administrative district that serves as the central area and political hub of Guigang in Guangxi, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangbei District Target entity description: Gangbei District is an urban administrative district that serves as the central area and political hub of Guigang in Guangxi, China.
-
A.
Shizhong District
Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
-
B.
Daiyue District
Daiyue District is an administrative district under the jurisdiction of Tai'an City in Shandong Province, China, known for encompassing part of the Mount Tai scenic area.
-
C.
Zhanggong District
Zhanggong District is the central urban district and administrative, economic, and cultural core of Ganzhou in Jiangxi Province, China.
-
D.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
E.
Baihe District
Baihe District is a rural district in Tainan, Taiwan, known for its scenic landscapes and popular hot spring resorts.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acb05848190a4b7edb98f15b8c6 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e5577d08190875d8a408ca80e51 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f388fb88190ba66f6b61db40d92 |
completed | May 15, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071018f61881908ace460b83dac186 |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 10:09 a.m.