Triple
T1669625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 84 (Oregon–Idaho) |
E36093
|
entity |
| Predicate | majorCorridorFor |
P3034
|
FINISHED |
| Object | freight traffic |
—
|
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: freight traffic | Statement: [Interstate 84 (Oregon–Idaho), majorCorridorFor, freight traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCorridorFor Context triple: [Interstate 84 (Oregon–Idaho), majorCorridorFor, freight traffic]
-
A.
transportCorridor
chosen
Indicates a route or pathway used to move people, goods, or resources between locations.
-
B.
majorUrbanCorridor
Indicates a primary transportation route that connects significant urban areas and supports major flows of people, goods, or services between them.
-
C.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
D.
hasMajorRetailCorridor
Indicates that a place contains or is associated with a primary commercial street or area characterized by a high concentration of retail businesses.
-
E.
hasMajorRailCorridor
Indicates that a location or region is traversed by a primary, high-capacity railway route used for significant passenger or freight transport.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.