Triple
T5478486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Order 12065 |
E123412
|
entity |
| Predicate | FederalRegisterCitation |
P61496
|
FINISHED |
| Object | 43 FR 28949 |
—
|
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: 43 FR 28949 | Statement: [Executive Order 12065, FederalRegisterCitation, 43 FR 28949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FederalRegisterCitation Context triple: [Executive Order 12065, FederalRegisterCitation, 43 FR 28949]
-
A.
federalRegisterCitation
chosen
Indicates that one entity is cited or referenced in the Federal Register under a specific citation.
-
B.
regulatoryDocument
Indicates a relationship where one entity serves as a regulatory document that defines rules, standards, or requirements governing another entity.
-
C.
statutesAtLargeCitation
Indicates that one entity cites or is referenced by a specific citation in the United States Statutes at Large.
-
D.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
E.
constitutionalCitation
Indicates a relationship where one entity cites, references, or is grounded in a specific provision or article of a constitution.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.