Triple
T25621226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Arbitration Act |
E642300
|
entity |
| Predicate | U.S.C.sectionRange |
P1119
|
FINISHED |
| Object | 9 U.S.C. §§ 1–16 |
—
|
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: 9 U.S.C. §§ 1–16 | Statement: [Federal Arbitration Act, U.S.C.sectionRange, 9 U.S.C. §§ 1–16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S.C.sectionRange Context triple: [Federal Arbitration Act, U.S.C.sectionRange, 9 U.S.C. §§ 1–16]
-
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.
chapterOfLaw
Indicates that one legal text or section is a chapter belonging to a specific law or legal act.
-
C.
governsSectionOf
Indicates that one entity has authoritative control or regulatory oversight over a specific section or part of another entity.
-
D.
APAdivisionNumber
Indicates the specific American Psychological Association (APA) division number with which an entity is associated or classified.
-
E.
federalStatute
Indicates that the relationship involves or is governed by a law enacted at the national (federal) level, as opposed to state or local law.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa204d1c8190b441d4efd8d80940 |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:05 p.m.