Triple
T699620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | substantial effects doctrine |
E13968
|
entity |
| Predicate | usedToUphold |
P1123
|
FINISHED |
| Object | federal regulation of homegrown wheat in Wickard v. Filburn |
—
|
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: federal regulation of homegrown wheat in Wickard v. Filburn | Statement: [substantial effects doctrine, usedToUphold, federal regulation of homegrown wheat in Wickard v. Filburn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToUphold Context triple: [substantial effects doctrine, usedToUphold, federal regulation of homegrown wheat in Wickard v. Filburn]
-
A.
upheldBy
chosen
Indicates that one entity is supported, maintained, or validated by another, often through approval, enforcement, or confirmation of its validity.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d265cf08190877f920d52a5ba43 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.