Triple
T8380842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weihsien Internment Camp |
E197683
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Weihsien
Weihsien is a town in Shandong Province, China, historically known for hosting a major World War II civilian internment camp run by the Japanese.
|
E729916
|
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: Weihsien | Statement: [Weihsien Internment Camp, location, Weihsien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weihsien Context triple: [Weihsien Internment Camp, location, Weihsien]
-
A.
Nankou
Nankou is a town in Beijing’s Changping District known as a key gateway area near the Juyongguan section of the Great Wall.
-
B.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
-
C.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
-
D.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
E.
Shekou
Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
- 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: Weihsien Triple: [Weihsien Internment Camp, location, Weihsien]
Generated description
Weihsien is a town in Shandong Province, China, historically known for hosting a major World War II civilian internment camp run by the Japanese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weihsien Target entity description: Weihsien is a town in Shandong Province, China, historically known for hosting a major World War II civilian internment camp run by the Japanese.
-
A.
Nankou
Nankou is a town in Beijing’s Changping District known as a key gateway area near the Juyongguan section of the Great Wall.
-
B.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
-
C.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
-
D.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
E.
Shekou
Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c57080819097eef2b7e46eaaee |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde803ac088190ae185ef444c9c7b9 |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebfafe84819097f387318897dae1 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2a9c2c8190bdbeddad562ef9e8 |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:02 p.m.