Triple
T5817926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Works and Economic Development Act of 1965 |
E129031
|
entity |
| Predicate | agencyType |
P49812
|
FINISHED |
| Object | U.S. Department of Commerce program |
—
|
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: U.S. Department of Commerce program | Statement: [Public Works and Economic Development Act of 1965, agencyType, U.S. Department of Commerce program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agencyType Context triple: [Public Works and Economic Development Act of 1965, agencyType, U.S. Department of Commerce program]
-
A.
agency
Indicates that an entity acts on behalf of, represents, or exercises power or control for another entity in performing an action or fulfilling a role.
-
B.
agencyTypeOfOperator
chosen
Indicates the specific type or category of agency to which the operator belongs or by which the operator is characterized.
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
agencyTypeCreated
Indicates that a specific type or category of agency has been created or established.
-
E.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.