Triple
T322811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saigon |
E6450
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object |
Kinh
The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
|
E41504
|
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: Kinh | Statement: [Saigon, majorEthnicGroup, Kinh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinh Context triple: [Saigon, majorEthnicGroup, Kinh]
-
A.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
D.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- 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: Kinh Triple: [Saigon, majorEthnicGroup, Kinh]
Generated description
The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinh Target entity description: The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
-
A.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
D.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea82ba748190bae651f5de908617 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb0203c081909fadc99c2172c87a |
completed | March 1, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69a3cb812dc081908a359022c8b5cf58 |
completed | March 1, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3cbedcaf081908b4abdd3c7ce0474 |
completed | March 1, 2026, 5:17 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.