Triple
T17080269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquito Range |
E414451
|
entity |
| Predicate | runsNorthSouthThrough |
P70156
|
FINISHED |
| Object | Lake County, Colorado |
—
|
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: Lake County, Colorado | Statement: [Mosquito Range, runsNorthSouthThrough, Lake County, Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsNorthSouthThrough Context triple: [Mosquito Range, runsNorthSouthThrough, Lake County, Colorado]
-
A.
northSouthRoutes
Indicates that there are routes or connections running in a generally north–south direction between the related entities.
-
B.
connectsNorthTo
Indicates that one entity serves as a connection or link from another entity to something located to its north.
-
C.
northSouthAxis
chosen
Indicates a spatial or directional relationship aligned along the north–south axis between entities.
-
D.
isSouthernmostHighwayCrossingOf
Indicates that one location is the furthest-south point at which a particular highway crosses a specified geographic feature or boundary.
-
E.
hasCommercialCorridorAlong
Indicates that a place contains a continuous stretch of commercial activity or businesses situated along a specified linear feature, such as a street or route.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.