Triple
T27418026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Lake |
E692956
|
entity |
| Predicate | typicalRouteAssociatedWith |
P45128
|
FINISHED |
| Object | Avalanche Gulch route |
—
|
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: Avalanche Gulch route | Statement: [Helen Lake, typicalRouteAssociatedWith, Avalanche Gulch route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRouteAssociatedWith Context triple: [Helen Lake, typicalRouteAssociatedWith, Avalanche Gulch route]
-
A.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
B.
isMostCommonRouteTo
chosen
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.
-
C.
roadAssociatedWith
Indicates that there is a relevant connection or linkage between a road and another entity, such as use, location, function, or impact.
-
D.
notableRouteType
Indicates that a route is particularly significant or well-known for a specific type or category (e.g., scenic, historic, commercial).
-
E.
trailAssociation
Indicates an associative relationship between entities where one is contextually or functionally linked to a trail (such as being located on, connected to, or part of that trail).
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: April 27, 2026, 12:34 p.m.