Triple
T24192658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tòa án nhân dân tối cao |
E599741
|
entity |
| Predicate | hệThống |
P730
|
FINISHED |
| Object | hệ thống Tòa án nhân dân |
—
|
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: hệ thống Tòa án nhân dân | Statement: [Tòa án nhân dân tối cao, hệThống, hệ thống Tòa án nhân dân]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hệThống Context triple: [Tòa án nhân dân tối cao, hệThống, hệ thống Tòa án nhân dân]
-
A.
system
chosen
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
B.
modelsSystemsWith
Indicates that one entity creates or uses a representation or abstraction to describe, analyze, or simulate another system.
-
C.
chieflySystem
Indicates that something serves primarily or predominantly as a system, or that its main role or function is system-related.
-
D.
homeSystem
Indicates that one entity is the primary or originating system, base, or environment associated with another entity.
-
E.
treatsSystem
Indicates that one entity provides medical or remedial care or intervention to a system (such as a bodily system, technical system, or organizational system) to address problems, maintain function, or improve its condition.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.