Triple
T1648502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal Aid Agency |
E35637
|
entity |
| Predicate | governmentDepartmentType |
P9175
|
FINISHED |
| Object | executive agency of the Ministry of Justice |
—
|
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: executive agency of the Ministry of Justice | Statement: [Legal Aid Agency, governmentDepartmentType, executive agency of the Ministry of Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentDepartmentType Context triple: [Legal Aid Agency, governmentDepartmentType, executive agency of the Ministry of Justice]
-
A.
governmentBranch
Indicates that one entity functions as an official division or branch within the structure of a government.
-
B.
typeOfMinistry
Indicates the specific category or kind of ministry that an entity belongs to or represents.
-
C.
governmentBodyType
chosen
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
D.
civilianLeaderDepartment
Indicates that a person serves as the civilian head or chief official of a specified government department or ministry.
-
E.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.