Triple
T125958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxing and Spending Clause |
E2550
|
entity |
| Predicate | languageIncludes |
P2177
|
FINISHED |
| Object | "to pay the Debts and provide for the common Defence and general Welfare of the United States" |
—
|
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 pay the Debts and provide for the common Defence and general Welfare of the United States" | Statement: [Taxing and Spending Clause, languageIncludes, "to pay the Debts and provide for the common Defence and general Welfare of the United States"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageIncludes Context triple: [Taxing and Spending Clause, languageIncludes, "to pay the Debts and provide for the common Defence and general Welfare of the United States"]
-
A.
includesLanguage
chosen
Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
-
B.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.