Triple
T22449989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VF Corporation |
E554964
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | JanSport |
—
|
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: JanSport | Statement: [VF Corporation, ownsBrand, JanSport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JanSport Context triple: [VF Corporation, ownsBrand, JanSport]
-
A.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
B.
North Face
North Face is a 2008 German historical adventure film directed by Philipp Stölzl that dramatizes the 1936 attempt to climb the Eiger’s notorious north face.
-
C.
Billabong
Billabong is an Australian surfwear and lifestyle brand known for its boardshorts, swimwear, and beach-oriented apparel.
-
D.
Kelty
Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
-
E.
Mountain Hardwear
chosen
Mountain Hardwear is an outdoor apparel and equipment brand known for its high-performance gear for activities like climbing, backpacking, and alpine expeditions.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.