Triple
T26721854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 80 |
E673724
|
entity |
| Predicate | designationAssignedBy |
P14126
|
FINISHED |
| Object | individual U.S. state governments |
—
|
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: individual U.S. state governments | Statement: [SR 80, designationAssignedBy, individual U.S. state governments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationAssignedBy Context triple: [SR 80, designationAssignedBy, individual U.S. state governments]
-
A.
designationAuthority
chosen
Indicates the entity that has the official power or responsibility to assign, grant, or confer a particular designation to another entity.
-
B.
assignedByAbbreviation
Indicates that an assignment or designation was made by an entity identified through a specific abbreviation.
-
C.
designationAct
Indicates an official act by which an authority formally assigns, names, or appoints an entity to a specific role, status, or function.
-
D.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
-
E.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 3:41 a.m.