Triple
T33832948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granite Peak Ski Area |
E867153
|
entity |
| Predicate | hasOnMountainServices |
P185682
|
FINISHED |
| Object | rental shop |
—
|
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: rental shop | Statement: [Granite Peak Ski Area, hasOnMountainServices, rental shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnMountainServices Context triple: [Granite Peak Ski Area, hasOnMountainServices, rental shop]
-
A.
operatesOnMountain
Indicates that an entity performs operations, activities, or functions on or in relation to a mountain.
-
B.
hasMountainAccess
Indicates that an entity has the right, ability, or means to enter, use, or traverse a mountain area.
-
C.
mountainSupported
Indicates that one entity provides physical or structural support to a mountain or mountainous formation.
-
D.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
E.
hasMountainSport
Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
- F. None of above. chosen
Provenance (4 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: May 1, 2026, 1:46 a.m.