Triple
T23138366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huyện Lệ Thủy |
E577385
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object |
Lệ Thủy
Lệ Thủy is a rural district-level administrative area in Quảng Bình Province, Vietnam, known for its agricultural landscape and traditional culture.
|
E1574942
|
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: Lệ Thủy | Statement: [Huyện Lệ Thủy, subdivisionName, Lệ Thủy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lệ Thủy Context triple: [Huyện Lệ Thủy, subdivisionName, Lệ Thủy]
-
A.
Thuy Trang
Thuy Trang was a Vietnamese-American actress best known for portraying the original Yellow Ranger, Trini Kwan, on the 1990s television series Mighty Morphin Power Rangers.
-
B.
Mai Linh
Mai Linh is a skilled and ruthless cyber-terrorist operative who serves as one of the primary antagonists in the action film "Live Free or Die Hard."
-
C.
Trinh Hoi Quan
Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
-
D.
Phương Mai
Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
-
E.
Văn Thao
Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
- 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: Lệ Thủy Triple: [Huyện Lệ Thủy, subdivisionName, Lệ Thủy]
Generated description
Lệ Thủy is a rural district-level administrative area in Quảng Bình Province, Vietnam, known for its agricultural landscape and traditional culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lệ Thủy Target entity description: Lệ Thủy is a rural district-level administrative area in Quảng Bình Province, Vietnam, known for its agricultural landscape and traditional culture.
-
A.
Thuy Trang
Thuy Trang was a Vietnamese-American actress best known for portraying the original Yellow Ranger, Trini Kwan, on the 1990s television series Mighty Morphin Power Rangers.
-
B.
Mai Linh
Mai Linh is a skilled and ruthless cyber-terrorist operative who serves as one of the primary antagonists in the action film "Live Free or Die Hard."
-
C.
Trinh Hoi Quan
Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
-
D.
Phương Mai
Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
-
E.
Văn Thao
Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8d6c20819085e8c2f97bc7fd5d |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308bbfb481909bb609337bc510e3 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c34d070ec81908d5f6b7583696c02 |
completed | May 19, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c3551922481908520bf706ad8d7eb |
completed | May 19, 2026, 10:02 a.m. |
Created at: April 17, 2026, 4 p.m.