Triple
T577623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Marketing Platform |
E13789
|
entity |
| Predicate | marketingModel |
P15709
|
FINISHED |
| Object | software as a service |
—
|
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: software as a service | Statement: [Google Marketing Platform, marketingModel, software as a service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingModel Context triple: [Google Marketing Platform, marketingModel, software as a service]
-
A.
marketingStrategy
Indicates the approach or plan an entity uses to promote, position, and sell its products or services to a target audience.
-
B.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
C.
marketStrategy
Indicates the approach or plan an entity uses to promote, position, and sell its products or services in a target market.
-
D.
marketingClaim
Indicates that an entity asserts or promotes a statement about a product, service, or offering for marketing or advertising purposes.
-
E.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b69fed88190b5558d4ebd5047a1 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c692288190b88f30299516b5ba |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985a2d08819090947895d9439e06 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.