Triple
T1022310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Veterans Affairs Act |
E22065
|
entity |
| Predicate | resultedInStatusChange |
P22587
|
FINISHED |
| Object | cabinet-level department |
—
|
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: cabinet-level department | Statement: [Department of Veterans Affairs Act, resultedInStatusChange, cabinet-level department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultedInStatusChange Context triple: [Department of Veterans Affairs Act, resultedInStatusChange, cabinet-level department]
-
A.
hasResultingChange
chosen
Indicates that one entity causes or leads to a specific change or transformation in another entity or state.
-
B.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
C.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
E.
upgradedStatusTo
Indicates that one entity has changed another entity’s status or level to a higher or more advanced state.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dead9c8190a0f8d4ef48e6c809 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.