Triple
T85302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steward Machine Co. v. Davis |
E1716
|
entity |
| Predicate | keyDoctrine |
P4306
|
FINISHED |
| Object | broad interpretation of the General Welfare Clause |
—
|
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: broad interpretation of the General Welfare Clause | Statement: [Steward Machine Co. v. Davis, keyDoctrine, broad interpretation of the General Welfare Clause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDoctrine Context triple: [Steward Machine Co. v. Davis, keyDoctrine, broad interpretation of the General Welfare Clause]
-
A.
teachesDoctrine
Indicates that one entity imparts, explains, or promotes a specific doctrine or set of beliefs to another entity.
-
B.
foreignPolicyDoctrine
Indicates a state's overarching principles or strategic approach that guide its decisions and behavior in international relations.
-
C.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
D.
kingdom
Indicates that an entity is classified within a particular biological kingdom in a taxonomic hierarchy.
-
E.
keyArticle
Indicates that an article is a primary or central reference for understanding, supporting, or defining another entity or topic.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.