Triple
T9284435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwest Connect |
E223151
|
entity |
| Predicate | typicalRouteProfile |
P75679
|
FINISHED |
| Object | regional routes within Midwestern states |
—
|
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: regional routes within Midwestern states | Statement: [Midwest Connect, typicalRouteProfile, regional routes within Midwestern states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRouteProfile Context triple: [Midwest Connect, typicalRouteProfile, regional routes within Midwestern states]
-
A.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
B.
primaryRouteType
chosen
Indicates the main category or kind of route associated with an entity, such as its primary mode, path, or routing classification.
-
C.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
D.
notableRouteType
Indicates that a route is particularly significant or well-known for a specific type or category (e.g., scenic, historic, commercial).
-
E.
isMostCommonRouteTo
Indicates that one route is the most frequently used or typical way to reach a particular destination or outcome compared to all other possible routes.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.