Triple
T494909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Energy Organization Act |
E10271
|
entity |
| Predicate | createdStatus |
P14181
|
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 Energy Organization Act, createdStatus, cabinet-level department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdStatus Context triple: [Department of Energy Organization Act, createdStatus, cabinet-level department]
-
A.
createdIn
Indicates that one entity was brought into existence, produced, or originated within the context, location, or time frame specified by another entity.
-
B.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
C.
createdUnder
Indicates that something was created during the time period or within the authority, rules, or conditions defined by another entity or context.
-
D.
createdFor
Indicates that one entity was made, produced, or designed specifically to serve, benefit, or be used by another entity.
-
E.
createdProgram
Indicates that an entity authored, developed, or produced a particular program (such as software or a coded application).
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fdd5608190815fa36485df8962 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf90ca88190b6a182e5b6733612 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebb2c908190960a4d0c014304cd |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.