Triple
T8553769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatch Act of 1939 |
E202507
|
entity |
| Predicate | mainCodificationSection |
P775
|
FINISHED |
| Object | 5 U.S.C. §§ 7321–7326 |
—
|
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: 5 U.S.C. §§ 7321–7326 | Statement: [Hatch Act of 1939, mainCodificationSection, 5 U.S.C. §§ 7321–7326]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCodificationSection Context triple: [Hatch Act of 1939, mainCodificationSection, 5 U.S.C. §§ 7321–7326]
-
A.
codificationTopicNumber
Indicates the numbered topic or subject under which something is organized or classified in a codification system.
-
B.
codifiedIn
chosen
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
C.
firstMajorCodificationBy
Indicates that the object is the first major formal codification or systematic recording of the subject.
-
D.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
E.
canonicalTextSection
Indicates that one text section is the authoritative or standard version associated with another representation or variant of that section.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe8894e7c8190bc0ae2ceec473ecb |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.