Triple
T30447921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tổng Khởi Nghĩa Tháng Tám |
E774631
|
entity |
| Predicate | gắnVớiTổChức |
P117061
|
FINISHED |
| Object | Mặt trận Việt Minh |
—
|
NE NERFINISHED |
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: Mặt trận Việt Minh | Statement: [Tổng Khởi Nghĩa Tháng Tám, gắnVớiTổChức, Mặt trận Việt Minh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gắnVớiTổChức Context triple: [Tổng Khởi Nghĩa Tháng Tám, gắnVớiTổChức, Mặt trận Việt Minh]
-
A.
toOrganization
Indicates a relationship where something or someone is directed, transferred, or associated toward a specific organization as the destination or target.
-
B.
connectedOrganization
chosen
Indicates that there is an established relationship or association between two organizations, such that one is linked or affiliated with the other in some relevant context.
-
C.
organOrganization
Indicates that an organ is structurally or functionally part of, or associated with, a specific organization or organizational system.
-
D.
entryOrganization
Indicates the organization responsible for creating, submitting, or maintaining the associated entry.
-
E.
setInOrganization
Indicates that an entity is located, based, or operating within a particular organization.
- 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_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:09 p.m.