Triple
T19478574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loveland Ski Area |
E487317
|
entity |
| Predicate | LovelandValleyFocus |
P56913
|
FINISHED |
| Object | beginner terrain |
—
|
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: beginner terrain | Statement: [Loveland Ski Area, LovelandValleyFocus, beginner terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LovelandValleyFocus Context triple: [Loveland Ski Area, LovelandValleyFocus, beginner terrain]
-
A.
valleyKnownFor
chosen
Indicates that a particular valley is widely recognized or notable for a specific feature, product, activity, or characteristic.
-
B.
valleyLocation
Indicates that one entity is located in, at, or within the geographic bounds of a valley relative to another entity or context.
-
C.
SunValleyConferenceFocus
Indicates that something is a primary topic, theme, or area of emphasis at the Sun Valley Conference.
-
D.
valleyRegion
Indicates that one region is characterized as a valley area within a larger geographic or topographic context.
-
E.
servesValley
Indicates that an entity provides service or support to a valley, such as supplying resources, functions, or benefits to that valley.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63437b9748190a8fc6bf6b3d90918 |
completed | April 20, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.