Triple
T30447926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tổng Khởi Nghĩa Tháng Tám |
E774631
|
entity |
| Predicate | diễnRaTrênPhạmVi |
P84795
|
FINISHED |
| Object | cả nước 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: cả nước Việt Nam | Statement: [Tổng Khởi Nghĩa Tháng Tám, diễnRaTrênPhạmVi, cả nước Việt Nam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diễnRaTrênPhạmVi Context triple: [Tổng Khởi Nghĩa Tháng Tám, diễnRaTrênPhạmVi, cả nước Việt Nam]
-
A.
territorialExtent
Indicates the geographic area or spatial range over which something extends, applies, or has jurisdiction.
-
B.
realmWithin
Indicates that one realm or domain is contained inside, or exists as a subset of, another realm or domain.
-
C.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
-
D.
takesPlaceInRegion
chosen
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
-
E.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
- 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_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:09 p.m.