Triple
T2971013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Defense Education Act |
E80278
|
entity |
| Predicate | increasedRoleOf |
P7907
|
FINISHED |
| Object | federal government in 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: federal government in education | Statement: [National Defense Education Act, increasedRoleOf, federal government in education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasedRoleOf Context triple: [National Defense Education Act, increasedRoleOf, federal government in education]
-
A.
minimizesRoleOf
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
B.
laterPrimaryRole
Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
-
C.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
D.
enhancedBy
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of another entity.
-
E.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9973ed6881908f11f49ca2e171df |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.