Triple
T17615590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2 |
E429073
|
entity |
| Predicate | hasBrandSegment |
P16877
|
FINISHED |
| Object | K2 Skis |
—
|
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: K2 Skis | Statement: [K2, hasBrandSegment, K2 Skis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K2 Skis Context triple: [K2, hasBrandSegment, K2 Skis]
-
A.
Line Skis
Line Skis is a freestyle-focused ski manufacturer known for its innovative, rider-driven designs and strong presence in park, pipe, and all-mountain skiing.
-
B.
K2 Sports
chosen
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
C.
Ski Apache
Ski Apache is a popular ski and snowboard resort in southern New Mexico known for its high-elevation slopes, scenic Sierra Blanca views, and winter recreation opportunities.
-
D.
K2 Mark 2
K2 Mark 2 is a later design variant of the iconic British K2 red telephone box, featuring modified details while retaining the classic cast-iron kiosk form.
-
E.
Atlas Snowshoes
Atlas Snowshoes is an outdoor gear brand specializing in innovative snowshoes designed for winter hiking and backcountry exploration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.