Triple
T30447943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tổng Khởi Nghĩa Tháng Tám |
E774631
|
entity |
| Predicate | đượcMôTảTrong |
P519
|
FINISHED |
| Object | sách giáo khoa lịch sử Việt Nam |
—
|
LITERAL FINISHED |
How this triple was built (2 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: sách giáo khoa lịch sử Việt Nam | Statement: [Tổng Khởi Nghĩa Tháng Tám, đượcMôTảTrong, sách giáo khoa lịch sử Việt Nam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: đượcMôTảTrong Context triple: [Tổng Khởi Nghĩa Tháng Tám, đượcMôTảTrong, sách giáo khoa lịch sử Việt Nam]
-
A.
describedIn
chosen
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
B.
describedFrom
Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
-
C.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
وصفه
Indicates that one entity describes, characterizes, or portrays another entity.
-
E.
describedAt
Indicates that something is explained, characterized, or detailed in a particular source, context, or location.
- F. None of above.
Provenance (3 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c07ac48190b5169557e67861c9 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:09 p.m.