Triple
T3429897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verisure |
E72310
|
entity |
| Predicate | customerValueProposition |
P25020
|
FINISHED |
| Object | peace of mind through professional monitoring |
—
|
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: peace of mind through professional monitoring | Statement: [Verisure, customerValueProposition, peace of mind through professional monitoring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerValueProposition Context triple: [Verisure, customerValueProposition, peace of mind through professional monitoring]
-
A.
customerFocus
Indicates that one entity prioritizes understanding and meeting the needs, preferences, or satisfaction of another entity (typically a customer or client).
-
B.
primaryBenefit
chosen
Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
-
C.
promotionReason
Indicates the reason or justification for which an entity was promoted to a higher position, status, or level.
-
D.
businessModelFocus
Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
-
E.
productTypePromoted
Indicates that a particular type or category of product is being actively promoted or highlighted, such as through marketing, placement, or special offers.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9bd61908190a7bdd01f24334fc3 |
completed | March 8, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.