Triple
T12457775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPARTA (Spartanburg Area Regional Transit Agency) |
E297703
|
entity |
| Predicate | transportationModeCategory |
P44050
|
FINISHED |
| Object | surface transportation |
—
|
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 transportation | Statement: [SPARTA (Spartanburg Area Regional Transit Agency), transportationModeCategory, surface transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationModeCategory Context triple: [SPARTA (Spartanburg Area Regional Transit Agency), transportationModeCategory, surface transportation]
-
A.
transportModeFamily
chosen
Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
-
B.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
C.
busCategory
Indicates the classification or type of a bus within a defined categorization system.
-
D.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
-
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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.