Triple
T25641642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skoal |
E642851
|
entity |
| Predicate | tobaccoForm |
P37356
|
FINISHED |
| Object | moist snuff |
—
|
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: moist snuff | Statement: [Skoal, tobaccoForm, moist snuff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tobaccoForm Context triple: [Skoal, tobaccoForm, moist snuff]
-
A.
usesTobaccoType
chosen
Indicates that an entity consumes or makes use of a specified type or form of tobacco.
-
B.
nicotineForm
Indicates the specific physical or chemical form in which nicotine is present or delivered (e.g., gum, patch, vapor, tobacco).
-
C.
containsTobacco
Indicates that one entity includes tobacco as a component, ingredient, or constituent part of itself.
-
D.
tobaccoRepresents
Indicates that one entity symbolically stands for, signifies, or is used as a representation of tobacco in some context.
-
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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa660fa0819087e2711cee51d7a1 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 5:44 p.m.