Triple
T30447911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tổng Khởi Nghĩa Tháng Tám |
E774631
|
entity |
| Predicate | diễnRaTrongBốiCảnh |
P139828
|
FINISHED |
| Object | Nhật đảo chính Pháp ở Đông Dương năm 1945 |
—
|
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: Nhật đảo chính Pháp ở Đông Dương năm 1945 | Statement: [Tổng Khởi Nghĩa Tháng Tám, diễnRaTrongBốiCảnh, Nhật đảo chính Pháp ở Đông Dương năm 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diễnRaTrongBốiCảnh Context triple: [Tổng Khởi Nghĩa Tháng Tám, diễnRaTrongBốiCảnh, Nhật đảo chính Pháp ở Đông Dương năm 1945]
-
A.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
B.
performedInScene
chosen
Indicates that an action or event took place within a specific scene or setting.
-
C.
بيئة الأحداث
Indicates the situational or contextual environment in which events occur or take place.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
- 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_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:09 p.m.