Triple
T31664140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. surface transportation authorization acts |
E808079
|
entity |
| Predicate | includesProgramTypes |
P72131
|
FINISHED |
| Object | formula grant programs |
—
|
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: formula grant programs | Statement: [U.S. surface transportation authorization acts, includesProgramTypes, formula grant programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProgramTypes Context triple: [U.S. surface transportation authorization acts, includesProgramTypes, formula grant programs]
-
A.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
B.
containsProgramType
chosen
Indicates that one entity includes or encompasses a specific type or category of program.
-
C.
offeredProgrammeType
Indicates the type or category of programme that is being offered by an entity.
-
D.
publicProgramsInclude
Indicates that a set of public programs contains or encompasses a particular program as one of its components.
-
E.
offersProgramsThrough
Indicates that one entity provides or delivers its programs, services, or courses by means of, or via the infrastructure or platform of, 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0160834e388190908591b300954d29 |
completed | May 11, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a01602a83408190a11d754bdc7da0e9 |
completed | May 11, 2026, 4:50 a.m. |
Created at: April 30, 2026, 10:58 p.m.