Triple
T10893537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem Ultra Lights |
E257245
|
entity |
| Predicate | hasNicotineContentRelativeTo |
P36262
|
FINISHED |
| Object | lower than regular Salem menthol cigarettes |
—
|
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: lower than regular Salem menthol cigarettes | Statement: [Salem Ultra Lights, hasNicotineContentRelativeTo, lower than regular Salem menthol cigarettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNicotineContentRelativeTo Context triple: [Salem Ultra Lights, hasNicotineContentRelativeTo, lower than regular Salem menthol cigarettes]
-
A.
nicotineLevel
chosen
Indicates the amount or concentration of nicotine present in or associated with an entity.
-
B.
isCombustibleTobaccoProduct
Indicates that a product is a tobacco-based item intended to be burned or otherwise combusted for use.
-
C.
isFilteredCigarette
Indicates that a cigarette has a filter attached or incorporated for smoke filtration.
-
D.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
-
E.
nicotineDeliveryForm
Indicates the method or form through which nicotine is administered or delivered to an individual.
- F. None of above.
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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d0089e48190be7a971c2d4f42c2 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.