Triple
T10964567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the United States |
E259061
|
entity |
| Predicate | goalSettingRole |
P96886
|
FINISHED |
| Object | may articulate target ranges for unemployment in policy documents |
—
|
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: may articulate target ranges for unemployment in policy documents | Statement: [President of the United States, goalSettingRole, may articulate target ranges for unemployment in policy documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalSettingRole Context triple: [President of the United States, goalSettingRole, may articulate target ranges for unemployment in policy documents]
-
A.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
B.
goalDescription
Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
-
C.
settingRole
Indicates that an entity functions in a particular contextual or environmental role within a given setting or situation.
-
D.
goalStructure
Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
-
E.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77148c4588190ad0f2b54ee4bab98 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.