Triple
T16118263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2 Sports |
E391062
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | K2 Skis |
E391062
|
NE 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: K2 Skis | Statement: [K2 Sports, brand, K2 Skis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K2 Skis Context triple: [K2 Sports, brand, K2 Skis]
-
A.
K2 Sports
chosen
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
B.
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.
-
C.
Ski
Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
-
D.
Ski
Ski is an American hip-hop record producer best known for his work with artists like Jay-Z and Camp Lo during the 1990s.
-
E.
Nordica
Nordica is Estonia’s national airline, operating regional and international flights primarily across Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016c10a081909b2d23ecea153a9c |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a44cb48190abe3b1ea27349734 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.