Triple
T14261084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SacRT SmaRT Ride |
E353516
|
entity |
| Predicate | serviceGoal |
P6636
|
FINISHED |
| Object | improve mobility in suburban and low-density neighborhoods |
—
|
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 mobility in suburban and low-density neighborhoods | Statement: [SacRT SmaRT Ride, serviceGoal, improve mobility in suburban and low-density neighborhoods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceGoal Context triple: [SacRT SmaRT Ride, serviceGoal, improve mobility in suburban and low-density neighborhoods]
-
A.
servicePurpose
Indicates that one entity serves as the purpose, goal, or intended function for which another entity (typically a service) exists or is provided.
-
B.
supportGoal
Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
E.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.