Triple
T2401250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosaic 4 |
E47772
|
entity |
| Predicate | isPartOfBrandStrategy |
P37956
|
FINISHED |
| Object | JetBlue customer loyalty strategy |
—
|
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: JetBlue customer loyalty strategy | Statement: [Mosaic 4, isPartOfBrandStrategy, JetBlue customer loyalty strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfBrandStrategy Context triple: [Mosaic 4, isPartOfBrandStrategy, JetBlue customer loyalty strategy]
-
A.
brandStrategy
Indicates the relationship in which a brand defines and guides how it will be positioned, communicated, and differentiated in the market to achieve its business goals.
-
B.
hasGlobalBrand
Indicates that an entity possesses a brand that is recognized and operates across multiple countries or worldwide.
-
C.
hasUnderlyingCompanyBrand
Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
-
D.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
E.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
- F. None of above. chosen
Provenance (4 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8caf12c8190b1482b9bc7bf9606 |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc664317c8190a6bb5a5065c21bde |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.