Triple
T33269067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camel Crush Bold |
E851728
|
entity |
| Predicate | hasNicotineDelivery |
P42330
|
FINISHED |
| Object | inhalation of smoke |
—
|
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: inhalation of smoke | Statement: [Camel Crush Bold, hasNicotineDelivery, inhalation of smoke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNicotineDelivery Context triple: [Camel Crush Bold, hasNicotineDelivery, inhalation of smoke]
-
A.
isNicotineDeliveryProduct
Indicates that a product functions to deliver nicotine to a user, typically through inhalation, ingestion, or absorption.
-
B.
containsNicotine
Indicates that the subject has nicotine as one of its components or ingredients.
-
C.
nicotineDelivery
Indicates the provision or transfer of nicotine from a source to a recipient or system.
-
D.
nicotineDeliveryForm
chosen
Indicates the method or form through which nicotine is administered or delivered to an individual.
-
E.
nicotineLevel
Indicates the amount or concentration of nicotine present in or associated with an entity.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.