Triple
T5324537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food and Nutrition Act of 2008 |
E121754
|
entity |
| Predicate | titleOfUSCode |
P1119
|
FINISHED |
| Object | 7 U.S.C. § 2011 et seq. |
—
|
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: 7 U.S.C. § 2011 et seq. | Statement: [Food and Nutrition Act of 2008, titleOfUSCode, 7 U.S.C. § 2011 et seq.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleOfUSCode Context triple: [Food and Nutrition Act of 2008, titleOfUSCode, 7 U.S.C. § 2011 et seq.]
-
A.
titleOfU.S.Code
chosen
Indicates that a specified title number or name corresponds to a particular section or portion of the United States Code.
-
B.
statuteName
Indicates the specific legal statute or act by which something is formally designated, governed, or referenced.
-
C.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
D.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
E.
titles
Indicates that one entity holds a formal title, designation, or name associated with 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.