Triple
T30701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Department of Transportation |
E611
|
entity |
| Predicate | implements |
P1417
|
FINISHED |
| Object | federal transportation legislation |
—
|
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: federal transportation legislation | Statement: [United States Department of Transportation, implements, federal transportation legislation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implements Context triple: [United States Department of Transportation, implements, federal transportation legislation]
-
A.
implementedThrough
chosen
Indicates that something is realized, carried out, or made operational by means of a specified method, mechanism, or intermediary.
-
B.
implies
Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
-
C.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
D.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
E.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490d80a0819083bf604c1229e903 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486eb01881909241540dda28e1ff |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.