Triple
T9382034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuận Thành District |
E225808
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object |
Hồ town
Hồ town is the principal urban and administrative hub of Thuận Thành District in Vietnam.
|
E794362
|
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: Hồ town | Statement: [Thuận Thành District, administrativeCenter, Hồ town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hồ town Context triple: [Thuận Thành District, administrativeCenter, Hồ town]
-
A.
Hương Thủy Town
Hương Thủy Town is a district-level town in central Vietnam known for its proximity to the historic city of Huế in Thừa Thiên Huế Province.
-
B.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
C.
Tam Đảo town
Tam Đảo town is a popular mountainous resort destination in northern Vietnam, known for its cool climate, misty scenery, and French colonial-era architecture.
-
D.
Guling Town
Guling Town is a historic resort and tourist town located on Lushan Mountain in Jiangxi Province, China, known for its scenic beauty and colonial-era architecture.
-
E.
Gaotangling town
Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, 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: Hồ town Triple: [Thuận Thành District, administrativeCenter, Hồ town]
Generated description
Hồ town is the principal urban and administrative hub of Thuận Thành District in Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hồ town Target entity description: Hồ town is the principal urban and administrative hub of Thuận Thành District in Vietnam.
-
A.
Hương Thủy Town
Hương Thủy Town is a district-level town in central Vietnam known for its proximity to the historic city of Huế in Thừa Thiên Huế Province.
-
B.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
C.
Tam Đảo town
Tam Đảo town is a popular mountainous resort destination in northern Vietnam, known for its cool climate, misty scenery, and French colonial-era architecture.
-
D.
Guling Town
Guling Town is a historic resort and tourist town located on Lushan Mountain in Jiangxi Province, China, known for its scenic beauty and colonial-era architecture.
-
E.
Gaotangling town
Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50be52248190bc7cd9deb95a1ef8 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f4346be881909acfd218e7468782 |
completed | April 4, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69d0f4b346988190b70cd311dc3481cd |
completed | April 4, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f589b86c8190a68c7047766ce464 |
completed | April 4, 2026, 11:27 a.m. |
Created at: March 30, 2026, 7:44 p.m.