Triple
T11731025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juul |
E278895
|
entity |
| Predicate | targetMarketClaimed |
P55993
|
FINISHED |
| Object | adult smokers |
—
|
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: adult smokers | Statement: [Juul, targetMarketClaimed, adult smokers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetMarketClaimed Context triple: [Juul, targetMarketClaimed, adult smokers]
-
A.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
B.
hasMarketingTarget
chosen
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
-
C.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
-
D.
hasMarketingClaim
Indicates that an entity asserts or is associated with a specific marketing claim about a product, service, or brand.
-
E.
hasTargetMarketPositioning
Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d94de08190a7184cf26d8cb94e |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.