Triple
T9904353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dairy Program |
E182366
|
entity |
| Predicate | federalAgencyType |
P32279
|
FINISHED |
| Object | program office |
—
|
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: program office | Statement: [Dairy Program, federalAgencyType, program office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalAgencyType Context triple: [Dairy Program, federalAgencyType, program office]
-
A.
stateAgencyOf
Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
-
B.
governmentalUnitType
chosen
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
-
C.
governmentBranch
Indicates that one entity functions as an official division or branch within the structure of a government.
-
D.
federalAffiliation
Indicates a formal relationship in which an entity is associated with, governed by, or part of a federal-level organization or authority.
-
E.
governmentBranchAlongside
Indicates that one branch of government exists or operates alongside another as a parallel or coequal component within the same governmental system.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e4f92c81908e38509416f19c78 |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.