Triple
T365736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Defense Authorization Act for Fiscal Year 2020 |
E7955
|
entity |
| Predicate | Section 1601Purpose |
P6849
|
FINISHED |
| Object | establishment of the United States Space Force |
—
|
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: establishment of the United States Space Force | Statement: [National Defense Authorization Act for Fiscal Year 2020, Section 1601Purpose, establishment of the United States Space Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Section 1601Purpose Context triple: [National Defense Authorization Act for Fiscal Year 2020, Section 1601Purpose, establishment of the United States Space Force]
-
A.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
B.
aimsToProvide
Indicates that one entity intends or is designed to supply, deliver, or make available something to another entity.
-
C.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
D.
textOfSection1
Indicates that the referenced text is the content belonging specifically to section 1 of a larger document or structure.
-
E.
significantLawSection
chosen
Indicates that a particular section of law is especially relevant or important in the context of the described legal situation or relationship.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe7d4d0819083daeb7686ae1914 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.