Triple
T20679680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Match AB |
E508256
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | ZYN |
—
|
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: ZYN | Statement: [Swedish Match AB, brand, ZYN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZYN Context triple: [Swedish Match AB, brand, ZYN]
-
A.
ZYN
chosen
ZYN is a popular brand of nicotine pouches known for offering tobacco-free, spit-free oral nicotine products in various flavors and strengths.
-
B.
Juul
Juul is a popular but controversial electronic cigarette brand known for its sleek USB-like design and significant role in the rise of youth vaping.
-
C.
NJOY
NJOY is an American e-cigarette and vaping brand known for producing electronic nicotine delivery systems as an alternative to traditional cigarettes.
-
D.
Cigaret
Cigaret is a brash, young hobo who serves as a central foil and apprentice figure to the seasoned drifter A No. 1 in the 1973 film "Emperor of the North."
-
E.
Hooka
"Hooka" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its catchy rhythm and club-oriented style within his musical catalog.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:44 a.m.