Triple
T61160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Exercise Clause |
E1214
|
entity |
| Predicate | protectsAgainst |
P1040
|
FINISHED |
| Object | undue government interference with religious practice |
—
|
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: undue government interference with religious practice | Statement: [Free Exercise Clause, protectsAgainst, undue government interference with religious practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectsAgainst Context triple: [Free Exercise Clause, protectsAgainst, undue government interference with religious practice]
-
A.
protects
chosen
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
B.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
D.
protectedIn
Indicates that one entity is safeguarded, preserved, or kept safe within the context, environment, or jurisdiction of another entity.
-
E.
ensures
Indicates that one entity guarantees or makes certain that a particular condition, outcome, or state holds for another entity or situation.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251a1b8ac8190b44be4c3c41e5681 |
completed | Feb. 28, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69a24ea0bec48190b2af1fb287e9e692 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.