Triple
T6004361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. American Tobacco Co. |
E133672
|
entity |
| Predicate | typeOfRestraint |
P22102
|
FINISHED |
| Object | unreasonable restraint of trade |
—
|
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: unreasonable restraint of trade | Statement: [United States v. American Tobacco Co., typeOfRestraint, unreasonable restraint of trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRestraint Context triple: [United States v. American Tobacco Co., typeOfRestraint, unreasonable restraint of trade]
-
A.
restraintType
chosen
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
B.
designedToConstrain
Indicates that one entity is intentionally created or configured to limit, restrict, or control the behavior, range, or properties of another entity.
-
C.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
D.
usesConstriction
Indicates that one entity applies pressure by tightening or squeezing around another entity to restrain, control, or affect it.
-
E.
strainType
Indicates the specific variety or subtype classification within a broader category of strains (e.g., biological, chemical, or product strains).
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.