Triple
T26861599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascades |
E676344
|
entity |
| Predicate | primaryRouteEndpoint |
P149316
|
FINISHED |
| Object | Eugene, Oregon |
—
|
NE NERFINISHED |
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: Eugene, Oregon | Statement: [Cascades, primaryRouteEndpoint, Eugene, Oregon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRouteEndpoint Context triple: [Cascades, primaryRouteEndpoint, Eugene, Oregon]
-
A.
primaryRouteFrom
Indicates that one entity serves as the main or preferred route originating from another entity.
-
B.
primaryRouteThrough
Indicates that one location or path serves as the main or most significant route passing through another location or area.
-
C.
hasPrimaryEndpoint
chosen
Indicates that an entity designates another entity as its main or most important endpoint or target location.
-
D.
secondaryEndpoint
Indicates that something serves as an additional, non-primary endpoint or target associated with a main endpoint in a relationship or process.
-
E.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 27, 2026, 5:25 a.m.