Triple
T22466344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bảo Long |
E555363
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Đà Lạt
Đà Lạt is a temperate highland city in Vietnam known for its cool climate, pine forests, flower gardens, and French colonial architecture.
|
E1539616
|
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: Đà Lạt | Statement: [Bảo Long, placeOfBirth, Đà Lạt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Đà Lạt Context triple: [Bảo Long, placeOfBirth, Đà Lạt]
-
A.
Buôn Ma Thuột
Buôn Ma Thuột is a major city in Vietnam renowned as the capital of the country’s coffee industry and the largest urban center in the Central Highlands region.
-
B.
Huế
Huế is a historic city in central Vietnam that served as the imperial capital of the Nguyễn Dynasty and is renowned for its ancient citadel, royal tombs, and rich cultural heritage.
-
C.
Phu Ly City
Phu Ly City is the capital and main urban, economic, and administrative center of Ha Nam Province in northern Vietnam.
-
D.
Lao Cai City
Lao Cai City is an urban center in northern Vietnam, serving as a key border city and gateway for trade and travel between Vietnam and China.
-
E.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
- 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: Đà Lạt Triple: [Bảo Long, placeOfBirth, Đà Lạt]
Generated description
Đà Lạt is a temperate highland city in Vietnam known for its cool climate, pine forests, flower gardens, and French colonial architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Đà Lạt Target entity description: Đà Lạt is a temperate highland city in Vietnam known for its cool climate, pine forests, flower gardens, and French colonial architecture.
-
A.
Buôn Ma Thuột
Buôn Ma Thuột is a major city in Vietnam renowned as the capital of the country’s coffee industry and the largest urban center in the Central Highlands region.
-
B.
Huế
Huế is a historic city in central Vietnam that served as the imperial capital of the Nguyễn Dynasty and is renowned for its ancient citadel, royal tombs, and rich cultural heritage.
-
C.
Phu Ly City
Phu Ly City is the capital and main urban, economic, and administrative center of Ha Nam Province in northern Vietnam.
-
D.
Lao Cai City
Lao Cai City is an urban center in northern Vietnam, serving as a key border city and gateway for trade and travel between Vietnam and China.
-
E.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b837ec081909c4e44d37e8b2acd |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1254b6f08190923842daebe93b99 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14a059e4819095a3d467c469e783 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b15696e588190a2c76b0a4af285a4 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:48 p.m.