Triple
T1341759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reciprocal Trade Agreements Act |
E28478
|
entity |
| Predicate | sectionType |
P27372
|
FINISHED |
| Object | delegation of tariff-making authority |
—
|
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: delegation of tariff-making authority | Statement: [Reciprocal Trade Agreements Act, sectionType, delegation of tariff-making authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionType Context triple: [Reciprocal Trade Agreements Act, sectionType, delegation of tariff-making authority]
-
A.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
B.
sectionCreated
Indicates that a new section has been created or added within a larger structure, document, or system.
-
C.
spanType
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
-
D.
section7Provides
Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
-
E.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
- F. None of above. chosen
Provenance (4 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c215fc008190b01fd8150b9f3b2a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:56 p.m.