Triple
T4928979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of National Education of France |
E110645
|
entity |
| Predicate | budgetarySector |
P59529
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Ministry of National Education of France, budgetarySector, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetarySector Context triple: [Ministry of National Education of France, budgetarySector, education]
-
A.
budgetaryNature
Indicates that something pertains to, characterizes, or affects the allocation, management, or structure of a budget.
-
B.
economicPlanningBody
Indicates that an entity functions as an organization responsible for formulating, coordinating, or overseeing economic plans and policies.
-
C.
budgetAuthority
Indicates that an entity has the formal power or authorization to allocate, commit, or control the use of financial resources for another entity or activity.
-
D.
budgetSource
Indicates the origin or provider of the funds used to finance a particular activity, project, or expenditure.
-
E.
budgetUnit
Indicates that one entity functions as the budgetary unit or cost-accounting unit associated with another entity within a financial or organizational context.
- F. None of above. chosen
Provenance (4 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6d3806f881909c06687e9e57b67f |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:30 p.m.