Triple
T19391517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lai Châu province |
E485079
|
entity |
| Predicate | formerCapital |
P3417
|
FINISHED |
| Object |
Phong Thổ
Phong Thổ is a mountainous township in northwestern Vietnam known for its ethnic diversity and scenic landscapes near the Chinese border.
|
E1373567
|
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: Phong Thổ | Statement: [Lai Châu province, formerCapital, Phong Thổ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phong Thổ Context triple: [Lai Châu province, formerCapital, Phong Thổ]
-
A.
Định Tường
Định Tường was a former province in southern Vietnam that formed part of the historic Mekong Delta region.
-
B.
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
C.
Ghenh Rang – Tien Sa
Ghenh Rang – Tien Sa is a coastal scenic area near Quy Nhơn famed for its rocky cliffs, clear beaches, and picturesque seaside views.
-
D.
Tai-Ngon
Tai-Ngon is the former name of Chợ Lớn, the historic Chinese-influenced district that later became part of Ho Chi Minh City in Vietnam.
-
E.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
- 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: Phong Thổ Triple: [Lai Châu province, formerCapital, Phong Thổ]
Generated description
Phong Thổ is a mountainous township in northwestern Vietnam known for its ethnic diversity and scenic landscapes near the Chinese border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phong Thổ Target entity description: Phong Thổ is a mountainous township in northwestern Vietnam known for its ethnic diversity and scenic landscapes near the Chinese border.
-
A.
Định Tường
Định Tường was a former province in southern Vietnam that formed part of the historic Mekong Delta region.
-
B.
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
C.
Ghenh Rang – Tien Sa
Ghenh Rang – Tien Sa is a coastal scenic area near Quy Nhơn famed for its rocky cliffs, clear beaches, and picturesque seaside views.
-
D.
Tai-Ngon
Tai-Ngon is the former name of Chợ Lớn, the historic Chinese-influenced district that later became part of Ho Chi Minh City in Vietnam.
-
E.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b44b70c81908e2f0deeabe4360f |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8951648190a7ea05504c3cd9c1 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072e2e59388190ac5a6a9479555154 |
completed | May 15, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072eb872b88190904f9947228066fb |
completed | May 15, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:36 p.m.