Triple
T5441525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fixing America’s Surface Transportation Act |
E122144
|
entity |
| Predicate | coversProgramArea |
P5037
|
FINISHED |
| Object | highway 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: highway programs | Statement: [Fixing America’s Surface Transportation Act, coversProgramArea, highway programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversProgramArea Context triple: [Fixing America’s Surface Transportation Act, coversProgramArea, highway programs]
-
A.
coversPolicyArea
chosen
Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
-
B.
partOfProgramArea
Indicates that one entity functions as a sub-area or component within a broader program area.
-
C.
oversawProgramArea
Indicates that one entity had managerial or supervisory responsibility over a specific program area associated with another entity.
-
D.
coversField
Indicates that one entity extends over, protects, or occupies the surface or area of a field associated with another entity.
-
E.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.