Triple
T7930111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark County Public Transportation Benefit Area Authority |
E184166
|
entity |
| Predicate | transportationModeFocus |
P5323
|
FINISHED |
| Object | surface transit |
—
|
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: surface transit | Statement: [Clark County Public Transportation Benefit Area Authority, transportationModeFocus, surface transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationModeFocus Context triple: [Clark County Public Transportation Benefit Area Authority, transportationModeFocus, surface transit]
-
A.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
-
B.
hasTransitFocus
chosen
Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
E.
transportationContext
Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acb6cb88190b4f31b7091881241 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.