Triple
T33082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commerce Clause |
E660
|
entity |
| Predicate | textBeginsWith |
P829
|
FINISHED |
| Object | "To regulate Commerce with foreign Nations, and among the several States, and with the Indian Tribes" |
—
|
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: "To regulate Commerce with foreign Nations, and among the several States, and with the Indian Tribes" | Statement: [Commerce Clause, textBeginsWith, "To regulate Commerce with foreign Nations, and among the several States, and with the Indian Tribes"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textBeginsWith Context triple: [Commerce Clause, textBeginsWith, "To regulate Commerce with foreign Nations, and among the several States, and with the Indian Tribes"]
-
A.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
-
B.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
C.
startDate
Indicates the point in time when an event, state, or relationship begins.
-
D.
hasBasicLetters
Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
-
E.
isAbout
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2496ffc548190b545f998cbebd5b9 |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a248717f5081909952a8c9ed1e1742 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.