Triple
T1542196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia Department of Transportation |
E32892
|
entity |
| Predicate | aims to |
P19801
|
FINISHED |
| Object | improve transportation safety in Washington, D.C. |
—
|
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: improve transportation safety in Washington, D.C. | Statement: [District of Columbia Department of Transportation, aims to, improve transportation safety in Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aims to Context triple: [District of Columbia Department of Transportation, aims to, improve transportation safety in Washington, D.C.]
-
A.
aimsToMeasure
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
B.
aimsToSolve
chosen
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
-
C.
aimsToDevelop
Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
-
D.
aimsToProvide
Indicates that one entity intends or is designed to supply, deliver, or make available something to another entity.
-
E.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.