Triple
T61129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Exercise Clause |
E1214
|
entity |
| Predicate | text |
P2203
|
FINISHED |
| Object | "Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof" |
—
|
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: "Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof" | Statement: [Free Exercise Clause, text, "Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: text Context triple: [Free Exercise Clause, text, "Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof"]
-
A.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
B.
rite
Indicates a ceremonial or ritual action performed according to established traditions or religious practices.
-
C.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
D.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
E.
writtenForm
chosen
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
- 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.